Un pensar desde el peligro, a propósito de José Blanco Regueira

Un pensamiento que se descubre en su reflejo como torcida estupidez normalizada que ha incorporado todo, aún a la inocencia misma en un sistema de estulticia universal reglamentada conforme a derecho es, en realidad, un pensamiento que de su intento de amarrarse a la realidad no genera otra cosa más que una vacua ilusión de bienestar y seguridad. El discurso de seguridad es el discurso de la estupidez sistematizada, que aboga por exprimir en sus férreos tentáculos al manso rebaño al que se le ha conferido el engañoso mérito de ganar certeza al precio de perder indefinidamente la candidez y la inocencia. Oficiados u oficiantes, jugadores o jugados, señores o esclavos, todos mascullamos dentro del mismo redil la pastosa paja cultural que la liturgia del estado de bienestar nos ha amaestrado a producir, distribuir y consumir

Reseña de "Pensar como pretexto y pre-textos para pensar" de Mijail Malishev

¿ Qué es un pensamiento aforístico? Para resolver esta cuestión es necesario anunciar previamente que si bien esta forma de pensar, paralela al proverbio, a la parábola o al refrán, han florecido en una época legendaria y en muchas facetas de la cultura ha quedado olvidada, en el momento de la cultura contemporánea ha empezado a adquirir su renacimiento. Quizá sea porque la aforística, en tanto que pensamiento asistemático, es un modo de responder al padecer inmediato de la vida humana, y con mayor razón es un modo de reaccionar ante el malestar de una cultura; y no es de extrañar que siempre ha tenido su auge en momentos en que la crisis moral, sociocultural y espiritual de una sociedad, ha tenido sus graves coyunturas, como la cultura contemporánea. La aforística responde a un padecer vital y es un pensamiento que se apega más a las afecciones del drama humano. La aforística, como bien lo intuye Mijail Malishev, es un pensamiento que tiene su raíz en la vivencia afectiva, y como fármaco espiritual, elabora un diagnóstico y ofrece una posible cura del dolor espiritual que se va adhiriendo en la lidia por encontrar nuestro destino. No debemos olvidar que primeros aforismos fueron elaborados por el médico, Hipócrates, quien supo ver en este modo de expresión una forma de condensar y unificar la cura del cuerpo con la cura del alma, y que busca expulsar los elementos perturbadores del enfermo

A gynandromorph of Xylocopa augusti and an unusual record of X. iris from Brazil (Hymenoptera: Apidae: Xylocopini)

We describe and illustrate for the first time a mixed gynandromorph of Xylocopa(Neoxylocopa) augusti Lepeletier de Saint Fargeau from Buenos Aires, Argentina. Also, we document and discuss a historical specimen of the Old World carpenter bee X. (Copoxyla) iris (Christ) possibly collected in Brazil.Fil: Lucia, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. División Entomología; ArgentinaFil: Villamil, Soledad Camila. Universidad Nacional del Sur. Departamento de Agronomía. Laboratorio de Estudios Apícolas; ArgentinaFil: Gonzalez, Victor H.. University of Kansas; Estados Unido

Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach

In this paper we present a fast and precise method to estimate the planar motion of a lidar from consecutive range scans. For every scanned point we formulate the range flow constraint equation in terms of the sensor velocity, and minimize a robust function of the resulting geometric constraints to obtain the motion estimate. Conversely to traditional approaches, this method does not search for correspondences but performs dense scan alignment based on the scan gradients, in the fashion of dense 3D visual odometry. The minimization problem is solved in a coarse-to-fine scheme to cope with large displacements, and a smooth filter based on the covariance of the estimate is employed to handle uncertainty in unconstraint scenarios (e.g. corridors). Simulated and real experiments have been performed to compare our approach with two prominent scan matchers and with wheel odometry. Quantitative and qualitative results demonstrate the superior performance of our approach which, along with its very low computational cost (0.9 milliseconds on a single CPU core), makes it suitable for those robotic applications that require planar odometry. For this purpose, we also provide the code so that the robotics community can benefit from it.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Spanish Government under project DPI2014-55826-R and the grant program FPI-MICINN 2012

A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow

This paper presents the first method to compute dense scene flow in real-time for RGB-D cameras. It is based on a variational formulation where brightness constancy and geometric consistency are imposed. Accounting for the depth data provided by RGB-D cameras, regularization of the flow field is imposed on the 3D surface (or set of surfaces) of the observed scene instead of on the image plane, leading to more geometrically consistent results. The minimization problem is efficiently solved by a primal-dual algorithm which is implemented on a GPU, achieving a previously unseen temporal performance. Several tests have been conducted to compare our approach with a state-of-the-art work (RGB-D flow) where quantitative and qualitative results are evaluated. Moreover, an additional set of experiments have been carried out to show the applicability of our work to estimate motion in realtime. Results demonstrate the accuracy of our approach, which outperforms the RGB-D flow, and which is able to estimate heterogeneous and non-rigid motions at a high frame rate.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Research supported by the Spanish Government under project DPI1011-25483 and the Spanish grant program FPI-MICINN 2012

The balance between cognitive and non-cognitive aspects of students’ well-being: a quantitative analysis

The objective of this work is to determine which students’ characteristics (of the 8th grade Spanish students) allow them finding a balance among different dimensions of well-being. Firstly, in order to measure the students’ well-being, we built four synthetic indexes related to anxiety, motivation, belonging to the educational centre and bullying. Then, different models are estimated using as explained variables those indexes and condition on students’ sociodemographic characteristics, use of ICTs, hours of study and a proxy for maturity. Based upon the estimated parameters a multiobjective problem is defined; the problem is solved with multiobjective programing using an achievement scalarazing function. The results allow to characterize the profile of those students who achieve an optimal balance among the different aspects of well-being evaluated, which may be used to design educational policies aimed at improving simultaneously cognitive and non-cognitive measures of students performance.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

A-GWASF-GA: The New Version of GWASF-GA to Solve Many Objective Problems

A new version of the evolutionary algorithm based on GWASF-GA [1] is proposed in this work. GWASF-GA is an aggregation-based algorithm which uses the Tchebychev metric plus an augmentation term as fitness function and two reference points (the utopian and nadir points) to classify the individuals according to a set of widely-distributed weight vectors. Although this algorithm obtains a good approximation of the Pareto front (PF) for multi-objective optimization problems, this may be more difficult to obtain for many-objective optimization problems due to the fact that the weight vectors used are never updated along the search process. For this reason, we propose a new version of the algorithm, called A-GWASF-GA, in which a dynamic adjustment of the weight vectors is carried out. The main idea is to re-calculate some weight vectors in order to obtain solutions in parts of the PF with a lack of solutions. Firstly, a percentage (p) of the total number of evaluations is performed with the original GWASF-GA [1]. Secondly, during the rest of evaluations (1-p), we re-calculate na times the projection directions determined by a subset of Na weight vectors. The re-calculation process is based on a scattering level, a measure based on the distance of each solution and the solutions around it. According to the scattering level of the generated solutions, we detect the Na weight vectors projecting toward overcrowded areas of the PF and we re-calculate them so that their new projection directions point towards areas of the PF which are not so well approximated. In order to show the effectiveness of A-GWASF-GA, we compare it with NSGA-III [2, 3], MOEA/D [4], MOEA/D-AWA [5] and the original GWASF-GA.To evaluate their performance, we use the IGD metric [6]. The results of the computational experiment demonstrate the good performance of A-GWASF-GA in the novel many-objective optimization benchmark problems considered.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech