The demand for a healthy diet: estimating the almost ideal demand system with infrequency of purchase

A Bayesian method of estimating multivariate sample selection models is introduced and applied to the estimation of a demand system for food in the UK to account for censoring arising from infrequency of purchase. We show how it is possible to impose identifying restrictions on the sample selection equations and that, unlike a maximum likelihood framework, the imposition of adding up at both latent and observed levels is straightforward. Our results emphasise the role played by low incomes and socio-economic circumstances in leading to poor diets and also indicate that the presence of children in a household has a negative impact on dietary quality

Minimum pricing of alcohol and its impact on consumption in the UK

A complete model of food demand is estimated for UK households, focusing on alcohol consumption both at home and outside. Using EFS data for 2005-06, several AIDS models have been estimated at different aggregation levels, thus defining a hierarchical system which allows for computation of cross elasticities between finely disaggregated food groups. At the bottom level of the system, elasticities for 9 groups of alcoholic drinks are computed, 4 of which corresponding to home consumption, 5 corresponding to outside consumption. Estimates from the upper levels of aggregation are used to acknowledge substitution and complementarity effect between these 9 groups and all other food groups consumed. Based on alcohol content of the different drinks studied, their strength and price per unit of alcohol sold is computed; a price increase is then devised, whereby all drinks must be sold at a minimum price of 50p per unit. This rise in alcohol prices, in combination with price elasticities of demand, indicates consumption changes observed according to different socio-economic characteristics (geographical, age, gender, income, socio-economic group). In spite of a slight substitution effect between alcoholic drinks and other food groups, overall consumption would decrease by 15% at the UK level. Only alcohol sold for home consumption would see an increase in prices, and reduction in sales would generally spare pubs and restaurants. While consuming more units of alcohol than other groups, higher income and high managerial groups would be less affected by this pricing policy.Health Economics and Policy,

The UK Consumer's Attitudes to, and Willingness to Pay for, imported Foods

We report results from an investigation into consumer preferences for locally produced foods. Using a choice experiment we estimate willingness to pay for foods of a designated origin together with certification for Organic and GM free status. Our results indicate that there is a preference for locally produced food which is GM free, Organic and produced in the traditional season.imported food, seasonality, willingness-to-pay, choice experiment, Demand and Price Analysis, Food Consumption/Nutrition/Food Safety, International Relations/Trade,

Prediction of source contributions to urban background PM10 concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

A large fraction of the urban population in Europe is exposed to particulate matter levels above the WHO guideline value. To make more effective mitigation strategies, it is important to understand the influence on particulate matter (PM) from pollutants emitted in different European nations. In this study, we evaluate a country source contribution forecasting system aimed at assessing the domestic and transboundary contributions to PM in major European cities for an episode in December 2016. The system is composed of two models (EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0), which allows the consideration of differences in the source attribution. We also compared the PM10 concentrations, and both models present satisfactory agreement in the 4 d forecasts of the surface concentrations, since the hourly concentrations can be highly correlated with in situ observations. The correlation coefficients reach values of up to 0.58 for LOTOS-EUROS and 0.50 for EMEP for the urban stations; the values are 0.58 for LOTOS-EUROS and 0.72 for EMEP for the rural stations. However, the models underpredict the highest hourly concentrations measured by the urban stations (mean underestimation of 36 %), which is to be expected given the relatively coarse model resolution used (0.25∘ longitude × 0.125∘ latitude). For the source attribution calculations, LOTOS-EUROS uses a labelling technique, while the EMEP/MSC-W model uses a scenario having reduced anthropogenic emissions, and then it is compared to a reference run where no changes are applied. Different percentages (5 %, 15 %, and 50 %) for the reduced emissions in the EMEP/MSC-W model were used to test the robustness of the methodology. The impact of the different ways to define the urban area for the studied cities was also investigated (i.e. one model grid cell, nine grid cells, and grid cells covering the definition given by the Global Administrative Areas – GADM). We found that the combination of a 15 % emission reduction and a larger domain (nine grid cells or GADM) helps to preserve the linearity between emission and concentrations changes. The nonlinearity, related to the emission reduction scenario used, is suggested by the nature of the mismatch between the total concentration and the sum of the concentrations from different calculated sources. Even limited, this nonlinearity is observed in the NO-3, NH+4, and H2O concentrations, which is related to gas–aerosol partitioning of the species. The use of a 15 % emission reduction and of a larger city domain also causes better agreement on the determination of the main country contributors between both country source calculations. Over the 34 European cities investigated, PM10 was dominated by domestic emissions for the studied episode (1–9 December 2016). The two models generally agree on the dominant external country contributor (68 % on an hourly basis) to PM10 concentrations. Overall, 75 % of the hourly predicted PM10 concentrations of both models have the same top five main country contributors. Better agreement on the dominant country contributor for primary (emitted) species (70 % is found for primary organic matter (POM) and 80 % for elemental carbon – EC) than for the inorganic secondary component of the aerosol (50 %), which is predictable due to the conceptual differences in the source attribution used by both models. The country contribution calculated by the scenario approach depends on the chemical regime, which largely impacts the secondary components, unlike the calculation using the labelling approach

High-detection efficiency and low-timing jitter with amorphous superconducting nanowire single-photon detectors

Recent progress in the development of superconducting nanowire single-photon detectors (SNSPDs) made of amorphous material has delivered excellent performances, and has had a great impact on a range of research fields. Despite showing the highest system detection efficiency (SDE) ever reported with SNSPDs, amorphous materials typically lead to lower critical currents, which impacts on their jitter performance. Combining a very low jitter and a high SDE remains a challenge. Here, we report on highly efficient superconducting nanowire single-photon detectors based on amorphous MoSi, combining system jitters as low as 26 ps and a SDE of 80% at 1550 nm. We also report detailed observations on the jitter behaviour, which hints at intrinsic limitations and leads to practical implications for SNSPD performance

Multifarious Hierarchies of Mechanical Models for Artist Assigned Levels-of-Detail

International audienceWe present a new framework for artist driven level of detail in solid simulations. Simulated objects are simultaneously embedded in several, separately designed deformation models with their own independent degrees of freedom. The models are ordered to apply their deformations hierarchically, and we enforce the uniqueness of the dynamics solutions using a novel kinetic filtering operator designed to ensure that each child only adds detail motion to its parent without introducing redundancies. This new approach allows artists to easily add fine-scale details without introducing unnecessary degrees-of-freedom to the simulation or resorting to complex geometric operations like anisotropic volume meshing. We illustrate the utility of our approach with several detail enriched simulation examples

The process of making an aerodynamically efficient car body for the SAE Supermileage competition

In the summer of 2010, a new body shell for the SAE Supermileage car of Laval University was designed. The complete shell design process included, amongst other steps, the generation of a shape through the parametric shape modeling software Unigraphics NX7 and the evaluation of aerodynamic forces acting on the chassis using the open source Computational Fluid Dynamics (CFD) software OpenFOAM. The CFD analyses were ran at steady-state using a k-omega-SST turbulence model and roughly 2.5 million cells. An efficient method for evaluating the effect of ambient wind conditions and vehicle trajectory on the track was developed. It considers the proportion of time that the car operates at each combination of velocity and wind yaw angle and computes the overall energy demand of the shell. An iterative process was conducted over a significant number of different shapes, which were generated by joining formula-based guide curves using intersection and tangency conditions. The new shell has a 25 % larger frontal area due to modified design constraints. When aerodynamically compared to the smaller and already highly efficient old vehicle, reductions of 50 % of the negative lift, 15 % of the energy demand when driving forward, and 5 % of the energy demand when turning are achieved by the new design. Also, the drag coefficient is reduced by 20 %. These improvements come from the quasi-NACA profiles on the side and top walls; a reduction of cavities to prevent redundant frontal areas; a short vehicle and smother wheel cover closures; and a thorough study of the nose and tail. This paper describes numerical flow simulations and the changes that were brought to the vehicle body to make it as aerodynamically efficient as possible

Desorption experiments and modeling of micropollutants on activated carbon in water phase: application to transient concentrations mitigation

Experimental studies and numerical modeling were conducted to assess the feasibility of a granular activated carbon column to buffer load variations of contaminants before wastewater treatment devices. Studies of cycles of adsorption, and more especially desorption, of methyldiethanolamine (MDEA) and 2,4-dimethylphenol (2,4-DMP) have been carried out on granular activated carbon (GAC). Dynamic variations of contaminants concentrations were run at several conditions of duration (peaks). GAC fixed-bed exhibited a stable adsorption/desorption capacity after undergoing two conditioning cycles. The study of pollution peaks revealed that attenuation is largely dependent on the targeted pollutant: 2.4 ± 0.5 % attenuation/cm of bed for MDEA and 6.0 ± 1.2 % attenuation/cm of bed for 2,4-DMP. Mass balances calculated from both injected and recovered pollutant during peaks were respected. Finally, a coupling of the linear driving force model and isotherms models was used to fit experimental data for both adsorption breakthrough curves and desorption curves. The model was used to predict adsorption and desorption behaviors of following cycles. Good agreement with experimental values was obtained

Collapses of underground cavities and soil-structure interactions : experimental and numerical models

International audienceThe great subsidences result from the collapses of underground cavities man-made (mines or careers) or formed naturally by water flow in soluble solid masses of rocks (limestone, gypsum). Their impact on the existing structures standing on the surface is generally very important as show the recent examples of Auboué (1996), Moutiers (1997) and Roncourt (1999) which damaged more than five hundred buildings and the sinkhole on building site of METEOR subway in 2003. It is thus necessary to forecast the movements of the soil surface (subsidence and horizontal deformation) resulting from these phenomena and especially to determine the impact that may have the presence of structures on the form and the amplitude of these movements. The current practice to forecast the effects on the structures consists in determining the movements caused by the subsidence of the cavity without the building (in greenfield) then to use these results to check the capacity of the structure to resist the phenomenon. This approach can largely underestimate or over-estimate the generated loading, which in both cases has negative impacts (risk remaining for the structure or overcost of project in the other hand). In the present communication, soil-structure interaction during a sinkhole phenomenon is studied by a dual approach using a physical model and a numerical method. First of all, the physical model will use the bidimensionnal Schneebeli material in a small-scale model allowing fully controlled tests. The Schneebeli material is modified in order to allow the presence of cohesion. The soil mass of great dimensions (2m width for 1m height) makes it possible to represent the happening of a sinkhole with a scale factor of 1/40. The use of a building model will allow us to shed some light on the soil-structure interaction during the sinkhole. Thereafter we will set a numerical model using a coupled approach betwen finite difference and discrete element (FLAC2D – PFC2D coupled computations). This will allow us to study more easier different case of parameters : the size of the cavity, the thickness of the roof over the cavity, the position of the structure compared to the cavity, etc ..