Collaborative Engineering: An Airbus Case Study

AbstractThis document introduces the main concepts of Collaborative Engineering as a new methodology, procedures and tools to design and develop an aircraft, as Airbus Military is implementing.Airbus designs and industrializes aircrafts under Concurrent Engineering techniques since decades with success. The introduction of new PLM methodologies, procedures and tools, mainly in the industrialization areas, and the need to reduce time-to-market conducted Airbus Military to push the engineering teams to do things in a different way.Traditional Engineering works sequentially, Concurrent Engineering basically overlaps tasks between teams using maturity states and taking assuming risks. Collaborative Engineering promotes a single team to develop product, processes and resources from the conceptual phase to the start of the serial production. The deliverable of the team is an iDMU (industrial DMU), a complete definition and verification of the virtual manufacturing of the product

Oxytocin enhances the appropriate use of human social cues by the domestic dog (Canis familiaris) in an object choice task

It has been postulated that the neuropeptide, oxytocin, is involved in human-dog bonding. This may explain why dogs, compared to wolves, are such good performers on object choice tasks, which test their ability to attend to, and use, human social cues in order to find hidden food treats. The objective of this study was to investigate the effect of intranasal oxytocin administration, which is known to increase social cognition in humans, on domestic dogs\u27 ability to perform such a task. We hypothesised that dogs would perform better on the task after an intranasal treatment of oxytocin. Sixty-two (31 males and 31 females) pet dogs completed the experiment over two different testing sessions, 5-15 days apart. Intranasal oxytocin or a saline control was administered 45 min before each session. All dogs received both treatments in a pseudo-randomised, counterbalanced order. Data were collected as scores out of ten for each of the four blocks of trials in each session. Two blocks of trials were conducted using a momentary distal pointing cue and two using a gazing cue, given by the experimenter. Oxytocin enhanced performance using momentary distal pointing cues, and this enhanced level of performance was maintained over 5-15 days time in the absence of oxytocin. Oxytocin also decreased aversion to gazing cues, in that performance was below chance levels after saline administration but at chance levels after oxytocin administration

Arreglos silvopastoriles con especie arbórea Alnus acuminata (aliso) y su efecto sobre los factores ambientales de sistemas ganaderos

Los sistemas silvopastoriles constituyen sistemas de producción sostenible y también una alternativa que no solo sirve para mitigar el efecto del cambio climático, sino tambien para adaptarse a este. El objetivo de este estudio fue evaluar el efecto de arreglos silvopastoriles con Alnus acuminata (árboles en callejones, árboles dispersos en potreros, cercas vivas) sobre los factores ambientales como la temperatura y humedad relativa. Las evaluaciones se realizaron en cuatro localidades del distrito de Molinopampa (Molinopampa, Santa Cruz del Tingo, Pumahermana y Ocol), región Amazonas (Perú), durante el periodo de noviembre del 2016 a octubre del 2017. Se consideraron 16 potreros con homogeniedad en edad y densidad de árboles, y componente forrajero, establecidos bajo un diseño de bloques completos al azar. Los datos se registraron con una frecuencia de cuatro horas y se procesaron mediante las pruebas de Kruskal-Wallis y U de Mann-Whitney por pares (p<0,05). Los resultados muestran la existencia de diferencias estadísticas para la temperatura y la humedad de los arreglos silvopastoriles y sistema a campo abierto. Los arreglos con árboles en callejones registraron menor variación de temperatura y humedad relativa del aire permitiendo generar un microclima favorable para el desarrollo del componente forrajero y el confort del ganado; asimismo, minimizan el efecto del cambio climático.Silvopastoral systems constitute sustainable production systems and also an alternative that not only serves to mitigate the effect of climate change, but also to adapt to it. The objective of this study was to evaluate the effect of silvopastoral arrangements with Alnus acuminata (trees in alleys, scattered trees in paddocks, living fences) on environmental factors such as temperature and relative humidity. The evaluations were carried out in four locations in the district of Molinopampa (Molinopampa, Santa Cruz del Tingo, Pumahermana and Ocol), Amazonas region (Peru); during the period from November 2016 to October 2017. Sixteen paddocks with homogeneity in age and density of trees, and fodder component, established under a randomized complete blocks design, were considered. The data were recorded with a frequency of four hours and processed by the Kruskal-Wallis and Mann-Whitney U tests in pairs (p <0.05). The results show the existence of statistical differences for temperature and relative humidity of the silvopastoral and open field systems. Arrangements with trees in alleys registered less variation of temperature and relative humidity of the air, allowing to generate a favorable microclimate for the development of the forage component and the comfort of the livestock; they also minimize the effect of climate change.Gerencia de Comunicación Institucional, DG SICyP, INTAFil: Saucedo, J. Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas. Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva; PerúFil: Oliva, M. Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas. Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva; PerúFil: Maicelo, J.L. Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas. Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva; PerúFil: Quispe, H. Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas. Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva; PerúFil: Meléndez, J.B. Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas. Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva; Per

The Absence of Caspase-8 in the Dopaminergic System Leads to Mild Autism-like Behavior

In the last decade, new non-apoptotic roles have been ascribed to apoptotic caspases. This family of proteins plays an important role in the sculpting of the brain in the early stages of development by eliminating excessive and nonfunctional synapses and extra cells. Consequently, impairments in this process can underlie many neurological and mental illnesses. This view is particularly relevant to dopamine because it plays a pleiotropic role in motor control, motivation, and reward processing. In this study, we analyze the effects of the elimination of caspase-8 (CASP8) on the development of catecholaminergic neurons using neurochemical, ultrastructural, and behavioral tests. To do this, we selectively delete the CASP8 gene in cells that express tyrosine hydroxylase with the help of recombination through the Cre-loxP system. Our results show that the number of dopaminergic neurons increases in the substantia nigra. In the striatum, the basal extracellular level of dopamine and potassium-evoked dopamine release decreased significantly in mice lacking CASP8, clearly showing the low dopamine functioning in tissues innervated by this neurotransmitter. This view is supported by electron microscopy analysis of striatal synapses. Interestingly, behavioral analysis demonstrates that mice lacking CASP8 show changes reminiscent of autism spectrum disorders (ASD). Our research reactivates the possible role of dopamine transmission in the pathogenesis of ASD and provides a mild model of autism

Oracle-based optimization applied to climate model calibration

In this paper, we show how oracle-based optimization can be effectively used for the calibration of an intermediate complexity climate model. In a fully developed example, we estimate the 12 principal parameters of the C-GOLDSTEIN climate model by using an oracle- based optimization tool, Proximal-ACCPM. The oracle is a procedure that finds, for each query point, a value for the goodness-of-fit function and an evaluation of its gradient. The difficulty in the model calibration problem stems from the need to undertake costly calculations for each simulation and also from the fact that the error function used to assess the goodness-of-fit is not convex. The method converges to a Fbest fit_ estimate over 10 times faster than a comparable test using the ensemble Kalman filter. The approach is simple to implement and potentially useful in calibrating computationally demanding models based on temporal integration (simulation), for which functional derivative information is not readily available

Density and magnetic susceptibility relationships in non-magnetic granites; a “wildcard” for modeling potential fields geophysical data

EGU2020: Sharing Geoscience Online, 4-8 May 2020Geophysical surveying (both gravity and magnetic) is of great help in 3D modeling of granitic bodies at depth. As in any potential-field geophysics study, petrophysical data (density [r], magnetic susceptibility [k] and remanence) are of key importance to reduce the uncertainty during the modeling of rock volumes. Several works have already demonstrated that ¿18O or [SiO2] display a negative correlation to density and to magnetic susceptibility. These relationships are particularly stable (and linear) in the so-called ¿non-magnetic¿ granites (susceptibilities falling within the paramagnetic range; between 0 and 500 10-6 S.I.) and usually coincident with calc-alcaline (CA) compositions (very common in Variscan domains). In this work we establish robust correlations between density and magnetic susceptibility at different scales in CA granites from the Pyrenees. Other plutons from Iberia were also considered (Veiga, Monesterio). The main goal is to use the available and densely sampled nets of anisotropy of magnetic susceptibility (AMS) data, performed during the 90¿s and early 2000¿s, together with new data acquired in the last few years, as an indirect measurement of density in order to carry out the 3D modelling of the gravimetric signal. We sampled some sections covering the main range of variability of magnetic susceptibility in the Mont Louis-Andorra, Maladeta and Marimanha granite bodies (Pyrenees), all three characterized by even and dense nets of AMS sites (more than 550 sites and 2500 AMS measurements). We performed new density and susceptibility measurements along two main cross-sections (Maladeta and Mont Louis-Andorra). In these outcrops, numerous measurements (usually more than 50) were taken in the field with portable susceptometers (SM20 and KT20 devices). Density data were derived from the Arquimedes principle applied on large hand samples cut in regular cubes weighting between 0.3 and 0.6 kg (whenever possible). These samples were subsampled and measured later on with a KLY-3 susceptibility bridge in the laboratory. Additionally, some density data were derived from the geometry and weighting of AMS samples. After the calibration of portable and laboratory susceptometers, density and magnetic susceptibility were plotted together. Regressions were derived for every granite body and they usually followed a linear function similar to: r = 2600 kg/m3 + (0.5 * k [10-6 S.I.]). As previously stated, this relationship is only valid in CA and paramagnetic granites, where iron is mostly fractioned in iron-bearing phyllosilicates and the occurrence of magnetite is negligible (or at least its contribution to the bulk susceptibility). These relationships allow transforming magnetic susceptibility data into density data helping in the 3D modelling of the gravimetric signal when density data from rock samples are scarce. Given the large amount of AMS studies worldwide, together with the quickness and cost-effectiveness of susceptibility measurements with portable devices, this methodology allows densifying and homogenizing the petrophysical data when modelling granite rock volumes based on both magnetic and gravimetric signal

¿Qué es una intervención sanitaria eficiente en España en 2020?

Hace más de 15 años que en Gaceta Sanitaria se publicó el artículo titulado «¿Qué es una tecnología sanitaria eficiente en España?». El creciente interés por fijar el precio de las nuevas tecnologías en función del valor que estas proporcionan a los sistemas de salud y la experiencia acumulada por los países de nuestro entorno hacen oportuno revisar qué es una intervención sanitaria eficiente en España en el año 2020. El análisis de coste-efectividad sigue siendo el método de referencia para maximizar los resultados en salud de la sociedad con los recursos disponibles. La interpretación de sus resultados requiere establecer unos valores de referencia que sirvan de guía sobre lo que constituye un valor razonable para el sistema sanitario. Los umbrales de eficiencia deben ser flexibles y dinámicos, y actualizarse periódicamente. Su aplicación debe estar basada en la gradualidad y la transparencia, considerando, además, otros factores que reflejen las preferencias sociales. Aunque la fijación de los umbrales corresponde a los decisores políticos, en España puede ser razonable utilizar unos valores de referencia como punto de partida que podrían estar comprendidos entre los 25.000 y los 60.000 euros por año de vida ajustado por calidad. No obstante, en la actualidad, más que la determinación de las cifras exactas de dicho umbral, la cuestión clave es si el Sistema Nacional de Salud está preparado y dispuesto a implantar un modelo de pago basado en el valor, que contribuya a lograr la gradualidad en las decisiones de financiación y, sobre todo, a mejorar la previsibilidad, la consistencia y la transparencia del proceso.Fifteen years ago, Gaceta Sanitaria published the article entitled “What is an efficient health technology in Spain?” The growing interest in setting the price of new technologies based on the value they provide to health systems and the experience accumulated by the countries in our environment make it opportune to review what constitutes an efficient health intervention in Spain in 2020. Cost-effectiveness analysis continues to be the reference method to maximize social health outcomes with the available resources. The interpretation of its results requires establishing reference values that serve as a guide on what constitutes a reasonable value for the health care system. Efficiency thresholds must be flexible and dynamic, and they need to be updated periodically. Its application should be based on and transparency, and consider other factors that reflect social preferences. Although setting thresholds is down to political decision-makers, in Spain it could be reasonable to use thresholds of 25,000 and 60,000 Euros per QALY. However, currently, in addition to determining exactfigures for the threshold,the key question is whether the Spanish National Health System is able and willing to implement a payment model based on value, towards achieving gradual financing decisions and, above all, to improve the predictability, consistency and transparency of the process

The Relation Between the Surface Brightness and the Diameter for Galactic Supernova Remnants

In this work, we have constructed a relation between the surface brightness ($\Sigma$) and diameter (D) of Galactic C- and S-type supernova remnants (SNRs). In order to calibrate the $\Sigma$-D dependence, we have carefully examined some intrinsic (e.g. explosion energy) and extrinsic (e.g. density of the ambient medium) properties of the remnants and, taking into account also the distance values given in the literature, we have adopted distances for some of the SNRs which have relatively more reliable distance values. These calibrator SNRs are all C- and S-type SNRs, i.e. F-type SNRs (and S-type SNR Cas A which has an exceptionally high surface brightness) are excluded. The Sigma-D relation has 2 slopes with a turning point at D=36.5 pc: $\Sigma$(at 1 GHz)=8.4$^{+19.5}_{-6.3}$$\times10^{-12}$ D$^{{-5.99}^{+0.38}_{-0.33}}$ Wm$^{-2}$Hz$^{-1}$ster$^{-1}$ (for $\Sigma$$\le3.7\times10^{-21}$ Wm$^{-2}$Hz$^{-1}$ster$^{-1}$ and D$\ge$36.5 pc) and $\Sigma$(at 1 GHz)=2.7$^{+2.1}_{-1.4}$$\times$ 10$^{-17}$ D$^{{-2.47}^{+0.20}_{-0.16}}$ Wm$^{-2}$Hz$^{-1}$ster$^{-1}$ (for $\Sigma$$>3.7\times10^{-21}$ Wm$^{-2}$Hz$^{-1}$ster$^{-1}$ and D$<$36.5 pc). We discussed the theoretical basis for the $\Sigma$-D dependence and particularly the reasons for the change in slope of the relation were stated. Added to this, we have shown the dependence between the radio luminosity and the diameter which seems to have a slope close to zero up to about D=36.5 pc. We have also adopted distance and diameter values for all of the observed Galactic SNRs by examining all the available distance values presented in the literature together with the distances found from our $\Sigma$-D relation.Comment: 45 pages, 2 figures, accepted for publication in Astronomical and Astrophysical Transaction

The exposure of the hybrid detector of the Pierre Auger Observatory

The Pierre Auger Observatory is a detector for ultra-high energy cosmic rays. It consists of a surface array to measure secondary particles at ground level and a fluorescence detector to measure the development of air showers in the atmosphere above the array. The "hybrid" detection mode combines the information from the two subsystems. We describe the determination of the hybrid exposure for events observed by the fluorescence telescopes in coincidence with at least one water-Cherenkov detector of the surface array. A detailed knowledge of the time dependence of the detection operations is crucial for an accurate evaluation of the exposure. We discuss the relevance of monitoring data collected during operations, such as the status of the fluorescence detector, background light and atmospheric conditions, that are used in both simulation and reconstruction.Comment: Paper accepted by Astroparticle Physic

Atmospheric effects on extensive air showers observed with the Surface Detector of the Pierre Auger Observatory

Atmospheric parameters, such as pressure (P), temperature (T) and density, affect the development of extensive air showers initiated by energetic cosmic rays. We have studied the impact of atmospheric variations on extensive air showers by means of the surface detector of the Pierre Auger Observatory. The rate of events shows a ~10% seasonal modulation and ~2% diurnal one. We find that the observed behaviour is explained by a model including the effects associated with the variations of pressure and density. The former affects the longitudinal development of air showers while the latter influences the Moliere radius and hence the lateral distribution of the shower particles. The model is validated with full simulations of extensive air showers using atmospheric profiles measured at the site of the Pierre Auger Observatory.Comment: 24 pages, 9 figures, accepted for publication in Astroparticle Physic