From the most prominent thinkers in Latin American philosophy, literature, politics, and social science comes a challenge to conventional theories of globalization. The contributors to this volume imagine a discourse in which revolution requires no temporalized march of progress or takeovers of state power but instead aims at local control and the material conditions for human dignity.

De la identidad literaria salvadoreña como exilio, se examina la obra clásica de nueve autores. Al aplicar una perspectiva psicoanalítica, el ensayo toma como punto de partida una tarjeta que Roque Dalton envió desde Cuba a una amante lejana en El Salvador. La escritura establece la deuda y la memoria como principios rectores para recuperar el pasado. Un compromiso subjetivo con el objeto del amor perdido la patria y la amante dicta el movimiento de la inscripción poética. Esta ausencia del (...) cuerpo a recuperar se aplica en seguida, en primer lugar, a Francisco Gavidia, que funda el indigenismo salvadoreño, utilizando técnicas literarias europeas, con lo cual ignora las lenguas indígenas, luego a Alberto Masferrer, que se retrata sufriendo las tribulaciones y la pasión de Cristo en el exilio, antes de construir un proyecto político de país. En tercer lugar, Arturo Ambrogi percibe en el campesino salvadoreño al poeta medieval localizado en un locus amoenus, encantado por la belleza del campo. Francisco Miranda Ruano inaugura una visión más trágica, ya que su salida de la ciudad para recrear el esplendor del campo concluye con su regreso a los suburbios pobres, antes de suicidarse. En quinto lugar, Salarrué mezcla fantasía y realismo para retratar sus diversas máscaras o personajes, así como para disimular la violencia sexual y racial. Según el proverbio español “el hábito hace al monje”, el ser y los actos se juzgan siempre por la apariencia. Claudia Lars prescribe un movimiento dual, primero para sustituir su nombre real, Carmen Brannon, por su seudónimo literario, y luego para recuperar su infancia de sus habilidades adultas, que ella desarrolla, gracias al legado poético de su padre extranjero. Los hermanos Alfred y Miguel Ángel Espino proponen un patrimonio complejo. Si el primero idealiza el campo en una recuperación nostálgica del vientre materno cuya contrapartida nombra al amante imposible que lo inclina al suicidio, el segundo apunta a restituir una educación verdaderamente americana, sin revitalización alguna de las lenguas indígenas ni de su tierra ancestral confiscada. José Napoleón Rodríguez Ruiz estipula cómo solo un recuerdo lejano recupera un relato testimonial del pasado. Al vaticinar un tema de actualidad -el acoso sexual y la migración, su personaje campesino narra cómo el exilio reinventa su identidad rural. Finalmente, en un retorno sinodal, desde lejos, Dalton replica la nostalgia de Rubén Darío por ser alguien más de lo que es a la hora de recrear sus años de formación como poeta. En resumen, este bosquejo de nueve autores del siglo XX delinea no solo cómo una idea de exilio anticipa la diáspora actual. El ensayo también sugiere cómo los estudios culturales continúan una nostálgica recuperación de la memoria por una revolución sinódica, y reclama la actualidad de aquellos autores consagrados en un canon literario monolingüe. (shrink)

This paper aims to analyze the problem of dinamism and determinism in Nature. It has a particular relevance in order to give a vision of reality in which philosophy and sciences have something to say. The study deals this problem in Special Theory of Relativity.

The lambda calculus is a universal programming language. It can represent the computable functions, and such offers a formal counterpart to the point of view of functions as rules. Terms represent functions and this allows for the application of a term/function to any other term/function, including itself. The calculus can be seen as a formal theory with certain pre-established axioms and inference rules, which can be interpreted by models. Dana Scott proposed the first non-trivial model of the extensional lambda calculus, (...) known as $ D_{\infty }$, to represent the $\lambda $-terms as the typical functions of set theory, where it is not allowed to apply a function to itself. Here we propose a construction of an $\infty $-groupoid from any lambda model endowed with a topology. We apply this construction for the particular case $D_{\infty }$, and we see that the Scott topology does not provide enough information about the relationship between higher homotopies. This motivates a new line of research focused on the exploration of $\lambda $-models with the structure of a non-trivial $\infty $-groupoid to generalize the proofs of term conversion to higher-proofs in $\lambda $-calculus. (shrink)

Cells are the fundamental building blocks of organisms and their organization holds the key to our understanding of the processes that control Development and Physiology as well as the mechanisms that underlie disease. Traditional methods of analysis of subcellular structure have relied on the purification of organelles and the painstaking biochemical description of their components. The arrival of high‐throughput genomic and, more significantly, proteomic technologies has opened hereto unforeseen possibilities for this task. Recently two reports(1,2) show how much can be (...) gleaned from the combination of analytical centrifugation, mass spectrometry and advanced statistical techniques focused on a high‐throughput analysis of the content and organization of plant and animal cells. The results reveal intriguing possibilities for the future and the possibility of mapping much of the known proteome onto our current map of the cell. BioEssays 28: 780–784, 2006. © 2006 Wiley Periodicals, Inc. (shrink)

In recent decades, the expansion of economic activity has been accompanied by negative environmental impacts. In response, there have been dramatic changes worldwide in terms of an increased demand for environmentally friendly products and services. To achieve these eco-innovations, firms have sought to acquire knowledge and implement operational flexibility by cooperating with different agents such as universities through a value cocreation system that is also expected to enhance firms’ performance. Using a sample of 250 companies, the present paper examines the (...) role of cooperation with universities in the development of diverse environmental innovations and building operational flexibility and, through this, improving firm performance. Results show that firms that value cooperation with universities develop a wider range of environmental innovations and increase their sales and benefits. (shrink)

Nuevo México y Centroamérica se unen por una historia pre-hispánica y colonial común. Mientras las lenguas yuto-nicaraos se expanden de Utah, EE.UU., a Nicaragua, los peregrinos del Cristo de Esquipulas viajan desde El Trifinio (Triángulo Norte de Centroamérica) a Chimayó (NM). Se exploran ambos bordes de un antiguo Virreinato al revelar su enlace por un Camino Real (entre realeza y realidad), cuyas señales olvidadas solo las reconoce una deposición testimonial subjetiva. En primer lugar, una crónica personal desglosa la extrañeza hispana (...) ante su propio legado en EE.UU., el cual los emparentaría con el Sur. En seguida, el ensayo comenta los enlaces culturales y lingüísticos ancestrales que mantienen tradiciones comunes —irreconocidas por nacionalismo cívico— entre el suroeste de los EE.UU. y el triángulo norte de Centroamérica. (shrink)

Since the mid-20th century, the study of Self-Regulated Learning has aimed to identify the distinctive characteristics that enable individuals to acquire new knowledge and skills under their control. The theory of Internal Self-Regulation vs. External-Regulation in Learning has postulated that a large number of self-regulatory variables are mediated by regulated/non-regulated or dysregulated features of the context. After signing their informed consent, a total of 616 university students completed validated instruments of SRL vs. ERL, behavioral regulation, regulatory teaching, and metacognitive study (...) control strategies. Using an ex-post facto design and correlation, regression, structural equation model and mediation analyses, the present research aimed to establish multicausal predictive relationships among the analyzed variables. Results indicated positive predictive effects between the external regulation variables on the self-regulation variables in learning [regulation /non-regulation /dysregulation ]; as well as positive predictive effects between SRL on SRB, RT and metacognitive SRS. Additionally, external regulation not only predicted but mediated numerous relations among the variables studied. Other findings and important considerations for future research in the field of self-regulation are discussed. (shrink)

Una de las tesis más importantes de la filosofía moral de Iris Murdoch es aquella de acuerdo con la cual el buen arte ayuda a los seres humanos a ser moralmente mejores. Pese a su importancia, en los textos de Murdoch no siempre queda claro cuáles son las razones que la llevan a sostener esta idea. En este artículo, me propongo rastrear estas razones a partir de una lectura atenta de algunos de sus textos y reconstruir los argumentos que posiblemente (...) tenía en mente la autora. En concreto, propongo que, en la opinión de Murdoch, el buen arte contribuye al progreso moral por dos razones. Primero, porque constituye un entrenamiento para llevar a cabo la tarea de superar la fantasía con miras a ver la realidad. Segundo, porque el arte nos revela la complejidad del mundo. Y superar la fantasía y ver el mundo en su complejidad son cosas esenciales para ser moralmente buenos. (shrink)

Feature selection is a widely studied technique whose goal is to reduce the dimensionality of the problem by removing irrelevant features. It has multiple benefits, such as improved efficacy, efficiency and interpretability of almost any type of machine learning model. Feature selection techniques may be divided into three main categories, depending on the process used to remove the features known as Filter, Wrapper and Embedded. Embedded methods are usually the preferred feature selection method that efficiently obtains a selection of the (...) most relevant features of the model. However, not all models support an embedded feature selection that forces the use of a different method, reducing the efficiency and reliability of the selection. Neural networks are an example of a model that does not support embedded feature selection. As neural networks have shown to provide remarkable results in multiple scenarios such as classification and regression, sometimes in an ensemble with a model that includes an embedded feature selection, we attempt to embed a feature selection process with a general-purpose methodology. In this work, we propose a novel general-purpose layer for neural networks that removes the influence of irrelevant features. The Feature-Aware Drop Layer is included at the top of the neural network and trained during the backpropagation process without any additional parameters. Our methodology is tested with 17 datasets for classification and regression tasks, including data from different fields such as Health, Economic and Environment, among others. The results show remarkable improvements compared to three different feature selection approaches, with reliable, efficient and effective results. (shrink)

The Entrepreneurial University plays a central role in entrepreneurial ecosystems and actively influences the development of entrepreneurial human capital, which is a critical asset for many economies. There is thus a requirement for the identification and strengthening of entrepreneurial competences, but no previous studies have included any analysis of these competences in the university context using an approach based on profiles. The present study fills this gap by investigating the existence of different entrepreneurial profiles among students, based on their competences. (...) It also defines key competences that are critical for differentiating between these profiles and improving entrepreneurial competence levels more generally. To meet these objectives, a field research campaign was developed. Data on 1104 students from various degrees and faculties were collected and analyzed using a quantitative methodological approach. The results reveal the existence of four entrepreneurial competence profiles, namelylow profile,top profile,social profile, andgrit profile. Among as many as 12 possible entrepreneurial competences, the most prominent can explain to a large extent the entrepreneurial profiles of students; these are networking and professional social skills, community engagement, perseverance of effort, and consistency of interest. The results provide evidence of the importance of social capital andgrit. In addition to their contribution to the theory in this area and the development of the Entrepreneurial University paradigm, the results are also useful for the design of training strategies aimed at strengthening the levels of competence of students, thereby providing universities with tools to foster the creation of entrepreneurial human capital. (shrink)

Traditional cognitive science is Cartesian in the sense that it takes as fundamental the distinction between the mental and the physical, the mind and the world. This leads to the claim that cognition is representational and best explained using models derived from AI and computational theory. The authors depart radically from this model.

This paper presents two formation tracking control strategies for a combined set of single and double integrator agents with an arbitrary undirected communication topology. The first approach is based on the design of distance-based potential functions with interagent collision avoidance using local information about the distance and orientation between agents and the desired trajectory. The second approach adds signed area constraints to the desired formation specification and a control strategy that uses distance as well as area terms is designed to (...) achieve tracking convergence. Numerical simulations show the performance from both control laws. (shrink)