Changes in the ethnic composition of neighbourhoods: Analysis of household's response and asymmetric preference structures

Theoretical models of ethnic residential segregation indicate asymmetries in preferences as the key driver of ethnic segregation dynamics. This study uses a pivoted choice experiment to empirically analyse the asymmetric preference structures for ethnic composition of neighbourhoods. We assume that the utilities of various alternative residential locations are dependent on the experienced levels of co‐ethnics or ethnic minorities in the current neighbourhood of residence, where the increases in current ethnic concentrations could be evaluated differently than decreases. Results from a discrete choice model estimated on data from Swiss city of Lugano confirm the existence of asymmetries, showing that individuals tend to be averse to decreases in the share of their co‐nationals, while being indifferent to any increases.     

Electromechanical properties of individual single-walled carbon nanotubes grown on focused-ion-beam patterned substrates

The combined capabilities of focused-ion-beam (FIB) nano-patterning and transmission electron microscope characterization have been employed to measure the electromechanical resonance of individual single-walled carbon nanotubes (SWNTs). Suspended and isolated SWNTs of length up to 7 μm were grown on FIB-patterned molybdenum substrates. The Young's modulus of a 5 nm diameter SWNT is found to be E=1.34±0.06 TPa, which is deduced from the measured resonance frequency based on the elastic beam theory. The patterned substrates help locate the nanostructure effectively, allowing the same structure to be inspected after multiple processing steps.     

Organic matter and modeling redox reactions during river bank filtration in an alluvial aquifer of the Lot River, France

A 3 year study of the infiltration of Lot River water into a well field located in an adjacent gravel and clay alluvial aquifer was conducted to assess the importance of organic matter regarding the redox processes which influence groundwater quality in a positive (denitrification) or negative (Mn dissolution) manner. Chloride was used to quantify the mixing of river water with groundwater. According to modeling with PHREEQC, the biodegradation of the infiltrated dissolved organic carbon (DOCi) is not sufficient to explain the observed consequences of the redox reactions (dissolved O2 depletion, denitrification, Mn dissolution). Another electron donor source must therefore be involved: we propose solid organic carbon (SOC) as a likely candidate, if made available for degradation by prior hydrolysis. Its contribution to redox reactions could be significant (30-80% of the total organic carbon consumed by redox reactions during river bank filtration). We show here also that even though the first few meters of infiltration are highly reactive, significant redox reactions can take place further in the aquifer, possibly affecting groundwater quality away from the river bank.     

CCD camera modeling and simulation

In this paper we propose a modeling of an acquisition line made up of a CCD camera, a lens and a frame grabber card. The purpose of this modeling is to simulate the acquisition process in order to obtain images of virtual objects. The response time has to be short enough to permit interactive simulation. All the stages are modelised: in the first phase, we present a geometric model which supplies a point to point transformation that provides, for a space point in the camera field, the corresponding point on the plane of the CCD sensor. The second phase consists of modeling the discrete space which implies passing from the continous known object view to a discrete image, in accordance with the different orgin of the contrast loss. In the third phase, the video signal is reconstituted in order to be sampled by the frame grabber card. The practical results are close to reality when compared to image processing. This tool makes it possible to obtain a short computation time simulation of a vision sensor. This enables interactivity either with the user or with software for the design/simulation of an industrial workshop equipped with a vision system. It makes testing possible and validates the choice of sensor placement and image processing and analysis. Thanks to this simulation tool, we can control perfectly the position of the object image placed under the camera and in this way, we can characterise the performance of subpixel accuracy determining methods for object positioning.     

Electroseismic Wave Theory of Frenkel and More Recent Developments

Frenkel’s 1944 theory of porous media acoustics is carefully scrutinized. After some manipulation, Frenkel’s equations are seen to have nearly identical form to Biot’s 1962 equations. The only difference is that Frenkel includes an extraneous fluid-pressure gradient in his bulk force balance. Frenkel also makes a slight error in the development of his effective poroelastic moduli that prevents him from being the first to obtain the so-called “fluid-substitution” relations. Outside of these two small problems, Frenkel’s analysis can be considered correct. He limits his treatment of electroseismic phenomena to explain the electric field that accompanies a compressional seismic wave in a homogeneous material. He predicts that the electric field in a compressional wave is directly proportional to the particle acceleration and this has been verified by the recent field measurements of Garambois and Dietrich. However, such electric fields are only a small part of the total electroseismic response of the earth. Accordingly, some of the additional phenomena not discussed by Frenkel are also presented and discussed.     

Simultaneous retrieval of oceanic and atmospheric parameters for ocean color imagery by spectral optimization: a validation

We report application and validation of a spectral optimization algorithm for processing SeaWiFS data in Case 1 waters. The algorithm couples a simplified aerosol model with a sophisticated water-reflectance model to simultaneously retrieve both atmospheric and ocean parameters. Two of the retrieved ocean properties—the absorption coefficient of colored detrital material and the chlorophyll a concentration—are validated by comparison with “surface” truth obtained with airborne and space-borne sensors. We show that employing a more complete water reflectance model significantly improves the decoupling between the oceanic and atmospheric optical signals. Methodologies for applying the algorithm to Case 2 waters and for delineating terrestrial vs. marine chromophoric dissolved organic matter (CDOM) are suggested.     

A magnetometer-based approach for studying human movements

This paper investigates the use of body-mounted magnetic field sensors for the analysis of certain human movements. We demonstrate that, in several usual dynamic situations, magnetometers allow to estimate accurately a body inclination while being insensitive to its acceleration. Doing this, it is then possible to combine this information together with the one provided by an accelerometer to separate in a very accurate way the gravitational and kinematical components of acceleration. The proposed method is illustrated by the study of the sit-to-stand movement, estimating trunk inclination and absolute acceleration.     

Nanopatterning the electronic properties of gold surfaces with self-organized superlattices of metallic nanostructures

The self-organized growth of nanostructures on surfaces could offer many advantages in the development of new catalysts, electronic devices and magnetic data-storage media. The local density of electronic states on the surface at the relevant energy scale strongly influences chemical reactivity, as does the shape of the nanoparticles. The electronic properties of surfaces also influence the growth and decay of nanostructures such as dimers, chains and superlattices of atoms or noble metal islands. Controlling these properties on length scales shorter than the diffusion lengths of the electrons and spins (some tens of nanometres for metals) is a major goal in electronics and spintronics. However, to date, there have been few studies of the electronic properties of self-organized nanostructures. Here we report the self-organized growth of macroscopic superlattices of Ag or Cu nanostructures on Au vicinal surfaces, and demonstrate that the electronic properties of these systems depend on the balance between the confinement and the perturbation of the surface states caused by the steps and the nanostructures' superlattice. We also show that the local density of states can be modified in a controlled way by adjusting simple parameters such as the type of metal deposited and the degree of coverage.     

Sensitivity to welding positions and parameters in GTA welding with a 3D multiphysics numerical model

A three-dimensional numerical model of Gas Tungsten Arc welding has been developed to predict weld a bead shape, fluid flow in the weld pool, as well as thermal field in the workpiece. This model accounts for coupled electromagnetism, heat transfer, and fluid flow with a moving free surface to simulate different welding positions. The solution strategy of the coupled non-linear equations that has been implemented in the Cast?M finite-element code is also discussed. The capabilities of our numerical model are first assessed by comparison to the experimental results. Then, as fluid flows in a weld pool play a prominent role in the weld quality as well as in the final shape of the weld bead seam, the effect of various welding positions on the weld pool shape has been investigated. This constitutes the main novelty of this work. The performed computations point out a strong sensitivity to gravity on the weld pool shape depending on assisting or opposing the weld direction with respect to gravity. This study contributes to assessing the model capabilities that provide a deeper physical insight into a more efficient optimization of welding processes.     

Influence of char-forming lignin in combination with aluminium phosphinate on thermal stability and combustion properties of polyamide 11 blends

Polyamide 11 (PA) blends based on char-forming industrial lignin and aluminum phosphinate (AlP) were prepared to improve flame retardant (FR) properties using a green and eco-friendly approach. This study investigates the thermal degradation and combustion behavior of PA blends prepared by using AlP in combination with two different types of industrial lignins (i.e., kraft lignin (DL) and lignosulphonate lignin (LL). Thermogravimetric (TG) analysis showed that ternary blends containing LL and AlP developed higher char residue up to 10.7 wt% upon decomposition in inert atmospheres. The combination of lignin and AlP increases the thermal stability by shifting the initial decomposition temperature (T_5%) and temperature at maximum decomposition (T_max) to a higher temperature range, attributed to the stabilization of decomposition products. Furthermore, combustion behavior studied by cone calorimeter (forced combustion) and pyrolysis combustion flow calorimeter (PCFC) tests presented a significant reduction in the peak of heat release rate (PHRR) and total heat release (THR). It was found that LL and AlP-containing blends more effectively decreased fire parameters like PHRR and THR than that of DL and AlP-containing blends. The best interaction with reduced fire-retardant properties was obtained when 10 wt% loading of lignin (DL/LL) and AlP was used. The reduction in heat release parameters was mainly ascribed to the condensed phase mechanism by forming an efficient protective char layer, which acts as a barrier against heat and mass transfer between the condensed and the gas phases. Raman spectroscopy analysis also confirmed the formation of the protective graphitic layer in the condensed phase.