Preguntas a la desigualdad. Ensayos sobre análisis de clase, socialismo y marxismo

Este texto comienza con un ensayo autobiográfico que explora los retos y beneficios de lo que implica ser un académico marxista en este tiempo. A este ensayo le sigue una discusión sobre varios temas del análisis de clase, con particular énfasis en dos temas: las clases y la desigualdad, y la relación entre clase y poder. La segunda sección aborda el tema del socialismo como posible futuro del capitalismo. Su autor procura clarificar el estatus conceptual del socialismo y discute las razones por las que ciertas reformas, tales como los subsidios básicos universales, en últimas no podrían realizarse por completo sin la introducción de alguna forma de socialismo. Preguntas a la desigualdad concluye con un examen del problema general del marxismo, en tanto que tradición radical de la teoría social. Allí se discuten tres temas en particular: los principios fundamentales del marxismo analítico como estrategia para reconstruir el marxismo como teoría social científica; la relación entre el marxismo y el feminismo como teorías sociales emancipadoras y las perspectivas del marxismo tras el colapso de los regímenes comunistas.

Poetry of social conscience, poetry of transition: Ann Hawkshaw's 'Introductory Stanzas' and 'The Mother to her Starving Child'

Through close readings of Ann Hawkshaw's poetry in the context of industrial Manchester in the 1840s, this article highlights the interaction of form and content in poetry that makes use of the idea of the past to question or complicate the politics of the present.

Highly efficient neural differentiation of human somatic stem cells, isolated by minimally invasive periodontal surgery

Neural stem cells (NSCs) are potential sources for cell therapy of neurodegenerative diseases and for drug screening. Despite their potential benefits, ethical and practical considerations limit the application of NSCs derived from human embryonic stem cells (ES) or adult brain tissue. Thus, alternative sources are required to satisfy the criteria of ready accessibility, rapid expansion in chemically defined media and reliable induction to a neuronal fate. We isolated somatic stem cells from the human periodontium that were collected during minimally invasive periodontal access flap surgery as part of guided tissue regeneration therapy. These cells could be propagated as neurospheres in serum-free medium, which underscores their cranial neural crest cell origin. Culture in the presence of epidermal growth factor (EGF) and fibroblast growth factor-2 (FGF-2) under serum-free conditions resulted in large numbers of nestin-positive/Sox-2-positive NSCs. These periodontium-derived (pd) NSCs are highly proliferative and migrate in response to chemokines that have been described as inducing NSC migration. We used immunocytochemical techniques and RT-PCR analysis to assess neural differentiation after treatment of the expanded cells with a novel induction medium. Adherence to substrate, growth factor deprivation, and retinoic acid treatment led to the acquisition of neuronal morphology and stable expression of markers of neuronal differentiation by more than 90% of the cells. Thus, our novel method might provide nearly limitless numbers of neuronal precursors from a readily accessible autologous adult human source, which could be used as a platform for further experimental studies and has potential therapeutic implications.

”He looked at me ... My God. His eyes were eyes to die for.” : A Feminist Theological Reading of Carol Ann Duffy’s The World’s Wife

Most approaches to Duffy’s work have been a feminist reading of poetry, focusing on the portrayal of women within the theoretical framework of feminism. However, little attention has been paid to the religious elements in Duffy’s work, something that Duffy herself has recognized. This essay will therefore focus on the centrality of religion in Duffy’s work, and will argue that her poems constitute an arena where religion is redefined and female experience and theology are reconciled. The poems under focus, “Delilah”, “Salome”, “Pilate’s wife”, “Pope Joan”, “Mrs Lazarous” and “Queen Herod” are examined in two separate sections: their portrayal of love and sexuality, and their portrayal of motherhood respectively, within the theoretical framework of feminist theology.

Steel bars identification in reinforced concrete structures by using ANN and magnetic fields

This work proposes a methodology for non destructive testing (NDT) of reinforced concrete structures, using superficial magnetic fields and artificial neural networks, in order to identify the size and position of steel bars, embedded into the concrete. For the purposes of this paper, magnetic induction curves were obtained by using a finite element program. Perceptron Multilayered (PML) ANNs, with Levemberg-Marquardt training algorithm were used. The results presented very good agreement with the expect ones, encouraging the development of real systems based upon the proposed methodology.

ANN statistical image recognition method for computer vision in agricultural mobile robot navigation

The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. Thereby, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for image recognition. Hence, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave computational platforms, along with the application of customized Back-propagation Multilayer Perceptron (MLP) algorithm and statistical methods as structured heuristics methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of segmented images in which reasonably accurate results were obtained. © 2010 IEEE.

Phenol biodegradation by a microbial consortium: application of artificial neural network (ANN) modelling

In this study, an effective microbial consortium for the biodegradation of phenol was grown under different operational conditions, and the effects of phosphate concentration (1.4 g L-1, 2.8 g L-1, 4.2 g L-1), temperature (25 degrees C, 30 degrees C, 35 degrees C), agitation (150 rpm, 200 rpm, 250 rpm) and pH (6, 7, 8) on phenol degradation were investigated, whereupon an artificial neural network (ANN) model was developed in order to predict degradation. The learning, recall and generalization characteristics of neural networks were studied using data from the phenol degradation system. The efficiency of the model generated by the ANN was then tested and compared with the experimental results obtained. In both cases, the results corroborate the idea that aeration and temperature are crucial to increasing the efficiency of biodegradation.

Total synthesis of (-)-indolizidine 167B via an unusual Wolff rearrangement from an alpha,beta-unsaturated diazoketone

A concise synthesis of the (-)-indolizidine alkaloid 167B and two formal syntheses of (-)-indolizidine 209D and (-)-coniceine are described in just three steps from an alpha,beta-unsaturated diazoketone, via an unusual photochemical Wolff rearrangement. Preparation of the unsaturated diazoketone is straightforward from N-Cbz-prolinal and a 3-diazo-2-oxopropylphosphonate, employing a Horner-Wadsworth-Emmons reaction. The strategy should be feasible and easily adaptable to the synthesis of other indolizidine alkaloids and analogues. (C) 2011 Elsevier Ltd. All rights reserved.

Niobium Effects on the Recrystallization Behavior on a Full Austenitic 15Cr-15Ni Stainless Steel Investigated Using Adaptive Neural Networks (ANN)

A new series of austenitic stainless steels-Nb stabilized, without Mo additions, non-susceptible to delta ferrite formation and devoid of intemetallic phases (sigma and chi), without deformation induced martensite is being developed, aiming at high temperature applications as well as for corrosive environments. The base steel composition is a 15Cr-15Ni with normal additions of Nb of 0.5, 1.0 and 2 wt%. Mechanical properties, oxidation and corrosion resistance already have been invetigated in previous papers. In this paper, the effects of Nb on the SFE, strain hardening and recrystallization resistance are evaluated with the help of Adaptive Neural Networks (ANN).