Memoria Maestr@: la construcción de un archivo documental en el sindicato de los trabajadores de la educación de Rosario

La presente ponencia se desarrolla sobre dos ejes. En primer lugar, se expone el relato sobre la experiencia de construcción de un archivo documental sobre los trabajadores realizado por los mismos trabajadores, en el marco de la organización sindical que los representa. A su vez se presentan las problemáticas y los desafíos que una investigación de esta naturaleza, llevada adelante por militantes, es decir, en forma voluntaria y fuera del campo académico específico, ha provocado desde el punto de vista de la metodología de la investigación histórica. En segundo lugar, los avances de las investigaciones iniciadas, centradas en los años setenta, en el marco del proceso de alza de las luchas populares, período en el cual se produjo un cambio sustancial en la forma en que los integrantes de este grupo social, los docentes de Rosario, decidieron participar y organizarse asumiendo como identidad colectiva la de “sindicato de trabajadores” en lugar de otras denominaciones alternativas.Facultad de Humanidades y Ciencias de la Educació

El pueblo que amaba la paz : Una aproximación a algunas representaciones sociales presentes durante la Guerra de Malvinas, a partir de las cartas de lectores del diario <i>La Capital</i> de Rosario

Nos proponemos indagar en la Guerra de Malvinas, episodio de nuestra historia reciente que aún espera un análisis de similar importancia al de otros aspectos de la última dictadura militar. Tal como lo mencionan los más reconocidos especialistas en el tema, el conflicto del Atlántico Sur ha sido reducido a explicaciones simplistas que no aportan mucho al intento de dar respuesta a aquel interrogante esencial de los estudios sociales: “¿Por qué pasó lo que pasó?”. Si la guerra fue un absurdo, un sinsentido, una aventura o la locura de un militar beodo, no existirían mayores responsabilidades por parte de la sociedad civil, en aquella carnicería a la que se envió a miles de jóvenes que se encontraron, de un momento a otro, “desnudos frente a los cañones”, en unas frías y lejanas islas. En este trabajo nos aproximaremos a algunas de las representaciones sociales presentes durante el transcurso del conflicto, para tratar de entender qué pensaba la gente sobre la guerra y cuáles eran las razones que esgrimían para fundamentar el apoyo a la criminal iniciativa de la Junta Militar. Para este análisis hemos recurrido a una fuente poco frecuentada por los historiadores, pero muy rica en función del objetivo que nos hemos propuesto: las cartas de lectores. Con tal fin, elaboramos un corpus de textos formado por 76 cartas, publicadas entre abril y junio de 1982, en el diario “La Capital” de Rosario.Facultad de Humanidades y Ciencias de la Educació

Tiempos difíciles, tiempos de guerra : un estudio sobre la sociedad rosarina durante el conflicto por las Islas Malvinas de 1982

Esta tesis tiene como objetivo el estudio de la sociedad rosarina durante los meses que duró la denominada Guerra de Malvinas, es decir, entre el 2 de abril y el 14 de junio de 1982. El conflicto austral ha sido habitualmente caracterizado como uno de los hechos de mayor consenso generados por las Fuerzas Armadas en el transcurso de la última dictadura y, al mismo tiempo, como el detonante de la caída de la misma. Esta investigación en clave local reconstruye y analiza la diversidad de acciones y expresiones públicas desarrolladas por la sociedad rosarina en aquellos días, para comprender la complejidad de una trama atravesada no sólo por el Terrorismo de Estado, sino también por la experiencia de una guerra, la única de tipo convencional librada por el país a lo largo de todo el Siglo XX.Fil: Mut, Fernando José Bartolomé. Universidad Nacional de General Sarmiento. Instituto del Desarrollo Humano; Argentina

Semi‐automatic porting of a large‐scale Fortran CFD code to GPUs

The development of automatic techniques to port a substantial portion of FEFLO, a general‐purpose legacy CFD code operating on unstructured grids, to run on GPUs is described. FEFLO is a typical adaptive, edge‐based finite element code for the solution of compressible and incompressible flows, which is primarily written in Fortran 77 and has previously been ported to vector, shared memory parallel and distributed memory parallel machines. Owing to the large size of FEFLO and the likelihood of human error in porting, as well as the desire for continued development within a single codebase, a specialized Python script, based on FParser (Int. J. Comput. Sci. Eng.&nbsp;2009;&nbsp;4&nbsp;:296&ndash;305), was written to perform automated translation from the OpenMP‐parallelized edge and point loops to GPU kernels implemented in CUDA, along with GPU memory management. The results of verification benchmarks and performance indicate that performances achieved by such a translator can rival those of codes rewritten by specialists. The approach should be of general interest, as how best to run on GPUs is being presently considered for many so‐called legacy codes

Ultra Wide-Band Localization and SLAM: A Comparative Study for Mobile Robot Navigation

In this work, a comparative study between an Ultra Wide-Band (UWB) localization system and a Simultaneous Localization and Mapping (SLAM) algorithm is presented. Due to its high bandwidth and short pulses length, UWB potentially allows great accuracy in range measurements based on Time of Arrival (TOA) estimation. SLAM algorithms recursively estimates the map of an environment and the pose (position and orientation) of a mobile robot within that environment. The comparative study presented here involves the performance analysis of implementing in parallel an UWB localization based system and a SLAM algorithm on a mobile robot navigating within an environment. Real time results as well as error analysis are also shown in this work

Computational fluid dynamics-based virtual angiograms for the detection of flow stagnation in intracranial aneurysms.

The goal of this study was to test if CFD-based virtual angiograms could be used to automatically discriminate between intracranial aneurysms (IAs) with and without flow stagnation. Time density curves (TDC) were extracted from patient digital subtraction angiography (DSA) image sequences by computing the average gray level intensity inside the aneurysm region and used to define injection profiles for each subject. Subject-specific 3D models were reconstructed from 3D rotational angiography (3DRA) and computational fluid dynamics (CFD) simulations were performed to simulate the blood flow inside IAs. Transport equations were solved numerically to simulate the dynamics of contrast injection into the parent arteries and IAs and then the contrast retention time (RET) was calculated. The importance of gravitational pooling of contrast agent within the aneurysm was evaluated by modeling contrast agent and blood as a mixture of two fluids with different densities and viscosities. Virtual angiograms can reproduce DSA sequences if the correct injection profile is used. RET can identify aneurysms with significant flow stagnation even when the injection profile is not known. Using a small sample of 14 IAs of which seven were previously classified as having flow stagnation, it was found that a threshold RET value of 0.46 s can successfully identify flow stagnation. CFD-based prediction of stagnation was in more than 90% agreement with independent visual DSA assessment of stagnation in a second sample of 34 IAs. While gravitational pooling prolonged contrast retention time it did not affect the predictive capabilities of RET. CFD-based virtual angiograms can detect flow stagnation in IAs and can be used to automatically identify aneurysms with flow stagnation even without including gravitational effects on contrast agents

Deflated preconditioned conjugate gradient solvers for linear elasticity

Extensions of deflation techniques previously developed for the Poisson equation to static elasticity are presented. Compared to the (scalar) Poisson equation (J. Comput. Phys.&nbsp;2008;&nbsp;227&nbsp;(24):10196&ndash;10208;&nbsp;Int. J. Numer. Meth. Engng&nbsp;2010; DOI:&nbsp;10.1002/nme.2932;&nbsp;Int. J. Numer. Meth. Biomed. Engng&nbsp;2010;&nbsp;26&nbsp;(1):73&ndash;85), the elasticity equations represent a system of equations, giving rise to more complex low‐frequency modes (Multigrid&nbsp;. Elsevier: Amsterdam, 2000). In particular, the straightforward extension from the scalar case does not provide generally satisfactory convergence. However, a simple modification allows to recover the remarkable acceleration in convergence and CPU time reached in the scalar case. Numerous examples and timings are provided in a serial and a parallel context and show the dramatic improvements of up to two orders of magnitude in CPU time for grids with moderate graph depths compared to the non‐deflated version. Furthermore, a monotonic decrease of iterations with increasing subdomains, as well as a remarkable acceleration for very few subdomains are also observed if all the rigid body modes are included

Fast numerical solutions of patient‐specific blood flows in 3D arterial systems

The study of hemodynamics in arterial models constructed from patient‐specific medical images requires the solution of the incompressible flow equations in geometries characterized by complex branching tubular structures. The main challenge with this kind of geometries is that the convergence rate of the pressure Poisson solver is dominated by the graph depth of the computational grid. This paper presents a deflated preconditioned conjugate gradients (DPCG) algorithm for accelerating the pressure Poisson solver. A subspace deflation technique is used to approximate the lowest eigenvalues along the tubular domains. This methodology was tested with an idealized cylindrical model and three patient‐specific models of cerebral arteries and aneurysms constructed from medical images. For these cases, the number of iterations decreased by up to a factor of 16, while the total CPU time was reduced by up to 4 times when compared with the standard PCG solver

Deflated preconditioned conjugate gradient solvers for the Pressure–Poisson equation

A deflated preconditioned&nbsp;conjugate gradient&nbsp;technique has been developed for the solution of the Pressure&ndash;Poisson equation within an&nbsp;incompressible flow&nbsp;solver. The deflation is done using a region-based decomposition of the unknowns, making it extremely simple to implement. The procedure has shown a considerable reduction in the number of iterations. For grids with large graph-depth the savings exceed an order of magnitude. Furthermore, the technique has shown a remarkable insensitivity to the number of groups/regions chosen, and to the way the groups are formed