CIVIL CONFLICT AND FORCED MIGRATION: THE MICRO DETERMINANTES AND THE WELFARE LOSSES OF DISPLACEMENT IN COLOMBIA

During the last decade, forced internal displacement in Colombia has been a growing phenomenon closely linked to the escalation of the internal armed conflict - particularly in rural areas. The displacement problem has affected nearly every region and vulnerable groups of the population. Two emerging policy questions are whether the magnitude of the response to this problem has been proportional to its size and to what extent the instruments chosen are the most adequate to address it. The purpose of this paper is twofold. First, to identify the determinants of displacement behavior and to compare these findings with standard migration literature. Second, to estimate the burden or welfare losses of displacement. Empirical evidence shows that the welfare loss of displacement is considerable and amount to 37 percent of the net present value of rural lifetime aggregate consumption for the average household. This loss is estimated for each household with a method that derives welfare changes from behavioral model estimates - widely used in environmental economics. Our empirical findings also show that the level of violence at the origin site is not only the dominant factor of displacement behavior, but also that in a violent environment other migration determinants have the opposite effect, relative to the one expected by the migration literature in a non-violent context. That is, the violent environment modifies the migration incentives for risk aversion, access to information, the planning horizon, and location-specific assets - human and non-human.Forced displacement

Enhanced thermoelectric performance by surface engineering in SnTe-PbS nanocomposites

Thermoelectric materials enable the direct conversion between heat and electricity. SnTe is a promising candidate due to its high charge transport performance. Here, we prepared SnTe nanocomposites by employing an aqueous method to synthetize SnTe nanoparticles (NP), followed by a unique surface treatment prior NP consolidation. This synthetic approach allowed optimizing the charge and phonon transport synergistically. The novelty of this strategy was the use of a soluble PbS molecular complex prepared using a thiol-amine solvent mixture that upon blending is adsorbed on the SnTe NP surface. Upon consolidation with spark plasma sintering, SnTe-PbS nanocomposite is formed. The presence of PbS complexes significantly compensates for the Sn vacancy and increases the average grain size of the nanocomposite, thus improving the carrier mobility. Moreover, lattice thermal conductivity is also reduced by the Pb and S-induced mass and strain fluctuation. As a result, an enhanced ZT of ca. 0.8 is reached at 873 K. Our finding provides a novel strategy to conduct rational surface treatment on NP-based thermoelectrics

Classification of geometrical objects by integrating currents and functional data analysis. An application to a 3D database of Spanish child population

This paper focuses on the application of Discriminant Analysis to a set of geometrical objects (bodies) characterized by currents. A current is a relevant mathematical object to model geometrical data, like hypersurfaces, through integration of vector fields along them. As a consequence of the choice of a vector-valued Reproducing Kernel Hilbert Space (RKHS) as a test space to integrate hypersurfaces, it is possible to consider that hypersurfaces are embedded in this Hilbert space. This embedding enables us to consider classification algorithms of geometrical objects. A method to apply Functional Discriminant Analysis in the obtained vector-valued RKHS is given. This method is based on the eigenfunction decomposition of the kernel. So, the novelty of this paper is the reformulation of a size and shape classification problem in Functional Data Analysis terms using the theory of currents and vector-valued RKHS. This approach is applied to a 3D database obtained from an anthropometric survey of the Spanish child population with a potential application to online sales of children's wear

Remote Ischemic Conditioning for Anthracycline Cardiotoxicity: The Need to Protect the Most Vulnerable.

[Figure: see text]Drs Ibáñez and Gomes-Silva are funded by the European Commission (H2020-HEALTH “RESILIENCE”, grant number 945118). Dr Ibáñez is recipient of an ERC-CoG (grant number 819775) and has received funds from the Spanish Ministry of Science and Innovation (PID2019- 110369RB-I00), and from the Comunidad de Madrid (S2022/BMD-7403, RENIM-CM). The CNIC is supported by the ISCIII, the Ministry of Science and Innovation, and the Pro CNIC Foundation and is a Severo Ochoa Center of Excellence (CEX2020-001041-S). Dr. Gomes-Silva has received grants from Astrazeneca; has received advisory board payments from Janssen, Gilead Sciences, Merck Sharp and Dohme, Bristol Myers Squibb, Roche, Takeda, Novartis, and ADC Therapeutics; and has received travel support from Roche, Janssen, Abbvie, Gilead, Takeda (all unrelated to the content of this paper).S

The Double Hierarchy Method: a parallel 3D contact method for the interaction of spherical particles with rigid FE boundaries using the DEM

The final publication is available at Springer via http://dx.doi.org/10.1007/s40571-016-0109-4In this work, we present a new methodology for the treatment of the contact interaction between rigid boundaries and spherical discrete elements (DE). Rigid body parts are present in most of large-scale simulations. The surfaces of the rigid parts are commonly meshed with a finite element-like (FE) discretization. The contact detection and calculation between those DE and the discretized boundaries is not straightforward and has been addressed by different approaches. The algorithm presented in this paper considers the contact of the DEs with the geometric primitives of a FE mesh, i.e. facet, edge or vertex. To do so, the original hierarchical method presented by Horner et al. (J Eng Mech 127(10):1027–1032, 2001) is extended with a new insight leading to a robust, fast and accurate 3D contact algorithm which is fully parallelizable. The implementation of the method has been developed in order to deal ideally with triangles and quadrilaterals. If the boundaries are discretized with another type of geometries, the method can be easily extended to higher order planar convex polyhedra. A detailed description of the procedure followed to treat a wide range of cases is presented. The description of the developed algorithm and its validation is verified with several practical examples. The parallelization capabilities and the obtained performance are presented with the study of an industrial application example.Peer ReviewedPostprint (author's final draft

Generalized Linear Models for Geometrical Current predictors. An application to predict garment fit

The aim of this paper is to model an ordinal response variable in terms of vector-valued functional data included on a vector-valued RKHS. In particular, we focus on the vector-valued RKHS obtained when a geometrical object (body) is characterized by a current and on the ordinal regression model. A common way to solve this problem in functional data analysis is to express the data in the orthonormal basis given by decomposition of the covariance operator. But our data present very important differences with respect to the usual functional data setting. On the one hand, they are vector-valued functions, and on the other, they are functions in an RKHS with a previously defined norm. We propose to use three different bases: the orthonormal basis given by the kernel that defines the RKHS, a basis obtained from decomposition of the integral operator defined using the covariance function, and a third basis that combines the previous two. The three approaches are compared and applied to an interesting problem: building a model to predict the fit of children’s garment sizes, based on a 3D database of the Spanish child population. Our proposal has been compared with alternative methods that explore the performance of other classifiers (Suppport Vector Machine and k-NN), and with the result of applying the classification method proposed in this work, from different characterizations of the objects (landmarks and multivariate anthropometric measurements instead of currents), obtaining in all these cases worst results

Towards entire male pigs in Europe: a perspective from the Spanish supply chain

In pig production, surgical castration is primarily performed to avoid boar taint and for management purposes. The European Commission plans to end surgical piglet castration voluntarily by 2018. The aim of this study was to assess the opinions and attitudes of Spanish stakeholders from the entire pork chain regarding this plan. Two methodologies were used: focus groups with 26 participants (qualitative method) were conducted with representatives of farmers, the meat industry, government institutions, retailers (including butchers), HORECA and consumers, and 127 face-to-face surveys at butchers (quantitative method) were carried out. These include an analytical hierarchical process to assess the determining factors when purchasing fresh pig meat. The results showed that a potential end of pig castration in Europe is not anticipated to affect conventional pig production in Spain. However, butchers are worried of negative effects on high quality meat and meat products, where surgical castration of pigs plays an important role.Postprint (published version