1,229 research outputs found
Cuadernos de Facultad
Art Deco en Uruguay / Mariano Arana, Pola Glikberg, Olga Larnaudie, Juan Pedro Margenat, Mario Sagradini, Salvador Schelotto – La arquitectura renovadora : su incidencia en el tejido urbano de Montevideo / Lorenzo Garabelli, Ruben García Miranda, Mariella Russi Podesta – La rambla sur de Montevideo / Margarita Montañez -- Fernandez Lapeyrade : aproximación a su obra / Eduardo Folle Chavanne
Diagonal Cero - Número 14
Textos:
Poemas de Saúl Yurkievich, Delchis Girotti, Edgardo Vigo, Omar Gancedo.
Grupo de poetas letristas, por Edgardo Vigo.
Pequeña antología de poesía uruguaya, poemas de: Roberto Sienra, Tabaré Rivas Mencia, Ariel Davison Vigil, Raúl Pisano Guido, Miguel Ángel Olivera, Horacio Ferrer Vila, Juan Carlos Tajes.
Selección poética de Victor García Robles, presentación de Ruben Natale.
Segunda pequeña antología do bolsillo de poetas mexicanos, poemas de: Sergio Mondragón, Roberto Fernández Iglesias, Guillermo Fernandez, Thelma Nava, Manuel Quiñones Hernández, Gustavo Pliego.
Grupo de poesía La Plata, poemas de: Carlos Imelnitzky, Mónica Bó, Ernesto Defani, Felipe Martínez Pérez, Imar Miguel Lamonega, Sandra Filippi, Gerardo Mario Gologoff,
Trabajos plásticos
Edgardo Vigo.
Ricardo Mampaey.
Jorge Casteran.
Bertini.Centro de Arte Experimental Vig
New studies in Rio Grande Valley history
Spanglish, a poem / Mario Barrera -- Place identity formation in the Lower Rio Grande Valley: the identity of Brownsville / Elim Zavala -- The complexity of land custody in 19th century deep South Texas / Eugene Fernandez -- Not in Kansas anymore: selling midwesterners the \u27Magic Valley\u27 of South Texas / Craig H. Roell with Ruth May Euler Roell -- Alexander Headley, public servant or scoundrel? / Norman Rozeff -- Rebels at the Rio Grande: naval actions on the international border in 1863 / Walter E. Wilson -- Matamoros en la época de la constitución de 1917 / Rosaura Alicia Davila -- Padre Island impression, a poem / Ralph Martin -- Cesar Chavez\u27s Pan American College campus visit and its aftermath / Rolando Avila -- Brownsville\u27s Ruben M. Torres in the midst of the Texas prison crisis / Noe E. Perez -- Eva Ybarra: siempre la reina / Manuel Medrano -- The recent history and unification of historical societies in Brownsville / Alma Ortiz Knopp and Anthony Knopp -- A history and bibliography of articles published in the UTB-UTRGV Studies in Local History series / Milo Kearney -- Dreamers, a poem / Manuel Fernandez Guzman Jimenez -- Viajes peligrosos: el tránsito de menores migrantes mexicanos por la frontera / Oscar Misael Hernandez - Hernandez -- Immigrant caging on the Texas-Mexico border / Antonio Noe Zavaleta and Mitchell A. Kaplan -- City of ghosts, a poem / Mario Barrera.https://scholarworks.utrgv.edu/regionalhist/1015/thumbnail.jp
Towards deep learning for seismic data processing
Deep Learning (DL), a branch of Artificial intelligence (AI), is presented as
it can provide a data driven approach to the conventional seismic processing
workflow, in an attempt to solve some of the conventional issues. Neural
networks are universal approximators that learn the mapping between one
space, the inputs, into the outputs. The learning process consists of an inter-
active optimization of parameters by minimizing a loss function quantifying
the distance inputs and outputs over an entire training data. Convolutional
neural networks (CNNs), a particular architecture of neural networks, were
developed for computer vision tasks and are particularly efficient in image
processing task such as classification, inpainting, and super-resolution. The
success in this field and their similarity to some of the seismic processing task
have created a new venue of research for applying DL to seismic problems.
In this thesis, we first tackle the problem of seismic interpolation. Re-
constructing missing traces is an ideal test for applying new deep learning
methodologies to seismic data. Unlike other processing tasks, it is possible
to generate ground truth labels by decimating field data. We conducted
a benchmark study comparing supervised and unsupervised deep learning
methods based on convolutionnal neural networks (CNNs) for seismic in-
terpolation. Our results highlight the potential of supervised deep learning
for accurately interpolating missing traces when the training data closely
represents the application dataset. However, we also identified challenges
with supervised methods, particularly when interpolating out-of-distribution
data or handling large gaps of consecutive missing traces. The unsupervised
approach proved to be a promising solution for mitigating generalization
issues, though it also faced difficulties with reconstructing large gaps. As
a response to these challenges, in a manuscript ready for submission for
the journal GEOPHYSICS, we proposed the TX-DPI methodology, which
maps space-time coordinates to seismic amplitudes, significantly improving
the interpolation of multiple consecutive missing traces and dip events, even
in a challenging field dataset. This work demonstrates the advantages of
extending CNNs beyond conventional image-to-image tasks, showing their
significant potential in deep learning applications for seismic data.
In the third chapter we tackle the problem of multiple attenuation. This is
a very important step for prestack seismic processing as the goal is to remove
coherent multiples of the primary reflections leading to improved imaging and
interpretation. A common workflow for multiple elimination involves Surface-
Related Multiple Elimination (SRME) and the Radon Transform (RT). This
process is representative of complex procedures where sensitive numerical pa-
rameters must be found for optimal results and human intervention is needed
to discriminate events. Consequently, a deep learning data-driven approach
could bring several advantages. The challenge here is to train a network that
gives results on many different datasets, i.e. a good generalization. In a paper
currently under revision for the journal GEOPHYSICAL PROSPECTING,
a UNet network is trained using a large range of synthetic NMO-corrected
gathers composed of known primaries and multiples. Several learning strate-
gies are also tested: predicting primaries, multiple or both. The study shows
that predicting multiples gives the most robust results for noisy data. Evalua-
tion in four different field datasets shows a very efficient multiple attenuation
compared to conventional SRME and RT methods. Following this study, we
discuss the limitations of the deep learning methodologies and propose pos-
sible solutions for some of them.
In the fourth chapter, we proposed a supervised deep-learning methodol-
ogy to train CNNs to predict time shifts for residual moveout correction. As
in the previous chapter, we create synthetic training data to address this pro-
cessing task. We suggest particular adjustments to the training methodology
as well as to the CNN architecture to map misaligned primary reflectors to
the corresponding time shifts needed for alignment. The proposed method
shows promising generalization in 2 post-migration field datasets. Our DL
approach works in a parameter-free manner during inference time, relieving
the user from any manual task or optimal parameter search. As a result, it
can provide a new powerful tool for residual moveout correction in existing
workflows.
In the last chapter we conclude this thesis and further explore the broader
implications of the investigations presented. We first discuss extending our
benchmark study for interpolation, considering architecture beyond CNNs
and other deep learning methodologies. Additionally, we discuss extending
the TX-DPI methodology to other applications. In particular, we proposed
including spatio-temporal information in supervised deep learning method-
ologies. Finally, we proposed the Physics Informed Convolutional Neural
Networks (PICNNs), allowing the use of CNNs in Physics Informed Neu-
ral Networks (PINNs) paradigm. A wide range of applications that process
seismic signals with CNNs can benefit from including temporal and spatial
locations as we presented in the TX-DPI method
Detective fiction in Cuban society and culture.
PhDThe object of this thesis is to reach towards an understanding of Cuban society through a
study of its detective fiction and more particularly contemporary Cuban society through
the novels of the author and critic, Leonardo Padura Fuentes.
The method has been to trace the development of Cuban detective writing and to
read Padura Fuentes in the light of the work of twentieth century Western European
literary critics and philosophers including Raymond Williams, Antonio Gramsci, Terry
Eagleton, Roland Barthes, Jean Paul Sartre, Michel Foucault, Jean François Lyotard and
Jean Baudrillard in order to gain a better understanding of the social and historical
context from which this genre emerged.
By concentrating on the literary texts, I have explored readings which lead out into
an analysis of the broader philosophical, political and historical issues raised by the
Cuban revolution. Since it deals primarily with modes of deviance and notions of legality
and justice within the context of the modern state, detective fiction is particularly well
suited to this type of investigation. The intention is to show how this is as valid in the
Cuban context as it is in advanced capitalist societies where such research has already
been carried out with some success.
The thesis comprises an introduction, ten chapters and a conclusion. The chapters
are divided into three sections. Chapters 1 to 3 attempt a broad theoretical, historical and
socio-political analysis of the cultural reality within which the Cuban revolutionary
detective genre emerged. Chapters 4 to 6 analyse the Cuban detective narrative from its
inception in the early part of the twentieth century until the emergence of Leonardo
Padura Fuentes as the foremost exponent of the genre in Cuba after 1991. Chapters 7-
10 concentrate upon the work of Leonardo Padura Fuentes, offering a reading of his
detective tetralogy informed by the preceding discussion.
The contribution made by the thesis to knowledge of the subject is to build upon the
work of Seymour Menton and Amelia S. Simpson on the development of the Cuban
detective novel and to provide analyses of the pre-Revolutionary Cuban detective
narrative and the work of Leonardo Padura Fuentes for the first time in the English
language. The thesis concludes that the study of this popular genre in Cuba is of crucial
importance to the scholar who wishes to reach as full an understanding of the social
dynamics within that society as possible. In particular, it proves that Cuban detective
fiction provides a useful barometer of social change which records the shifts in the Cuban
Zeitgeist that have taken place over the past century
Buglossoides arvensis L.
Buglossoides arvensis L. (=Lithospermum arvense (L.) I.M. Johnston) comúnmente conocida como "Yuyo moro" o "Mijo de sol", es una Boraginaceae anual facultativa de invierno. En nuestro país su creciente expansión se atribuye a la expansión de la siembra directa en el sur bonaerense propiciando condiciones favorables tanto para la generación y perpetuación del banco de semillas en el suelo como para su emergencia e implantación. Las semillas presentan dormición fisiológica condicional dependiendo de factores ambientales al momento de formación y maduración de las mismas en las plantas madre. Su efecto como maleza está asociado a las mermas de rendimiento producidas en cereales de invierno, y a la pérdida de calidad comercial por aporte de "materia extraña en la comercialización". El control químico de la especie está basado fundamentalmente en el uso de herbicidas pertenecientes a la familia de las sulfonilureas.Buglossoides arvensis L. (=Lithospermum arvense (L.) I.M. Johnston) commonly known as ?Yuyo moro? or ?Mijo de sol?, is an annual winter facultative Boraginaceae. In our country its growing expansion is own to the direct seeding expansion in the south of Buenos Aires province, which promotes proper conditions for the generation and perpetuation of the seed bank in the soil as well as for their emergence and implantation. The seeds present conditional physiologic dormancy depending on environmental factors at the moment of their formation and maturation in the mother plants. The effect of this plant as weed is associated to the performance decreases produced in winter cereals and to the commercial quality loss by contribution of ?strange matter in the commercialization?. The species? chemical control is mainly based on the use of herbicides belonging to the sulfonilureas family.Buglossoides arvensis L. (=Lithospermum arvense (L.) I.M. Johnston) commonly known as "Yuyo moro" or "Mijo de sol", is an annual winter facultative Boraginaceae. In our country its growing expansion is own to the direct seeding expansion in the south of Buenos Aires province, whilch promotes proper conditions for the generation and perpetuation of the seed bank in the soil as well as for their emergence and implantation. The seeds present conditional physiologic dormancy depending on environmental factors at the momento of their formation and maturation in the mother plants. The effect of this plant as weed is associated to the performance decreases produced in winter cereals and to the commercial quality loss by contribution of "strange matter in the commercialization". The spesies´ chemical control is mainly based on the use of herbicides belonging to the sulfonilureas family.Fil: Longás, María de Las Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; ArgentinaFil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; ArgentinaFil: Gigón, Ramón. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Barrow; ArgentinaFil: Sabbatini, Mario Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentin
Avena fatua L.
La Avena fatua L. es una maleza relevante en sistemas de producción de cereales de invierno, particularmente en el Sur de la Provincia de Buenos Aires, no sólo por las pérdidas de rendimiento y los costos para su control, sino también por los descuentos que se generan en la comercialización, particularmente en lotes de cebada destinados a la industria maltera. En el presente capítulo se abordan aspectos propios de su taxonomía y caracterización botánica, distribución geográfica e incidencia en diferentes sistemas de producción, su biología, fenología, dinámica de emergencia y dinámica poblacional. Se mencionan características particulares de efectos ambientales en la dormición de las semillas y bases aplicadas para la elaboración de modelos de predicción de emergencia. En cuanto a dinámica poblacional, se presentan resultados de diferentes estudios realizados en el sudoeste de Buenos Aires, evaluando los efectos de diferentes prácticas agronómicas en los distintos procesos demográficos, sobre lo cual no se disponía de antecedentes en Argentina. También se describen aspectos propios de la aplicación de herbicidas a lo largo de los últimos 40 años, considerando los riesgos que su reiterada aplicación genera en términos de selección de biotipos resistentes.Avena fatua L. is an annual cicle grass native to the eastern Mediterranean. The seeds exhibit dormancy. Seedlings emerge during autumn-sinter, a process that can extend into early spring. It is a species with protoperiodic response (quantitative long day), while the time to flowering is controlled by photo-period and temperature. The presence of this species is reported in almost all parts of teh world where sinter-cereal crops are grown, including winter cereal production systems. Particularly in the south of the Province of Buenos Aires, its presence has been registered in uo to 80% of fields cultivated with barley. It can cause considerable losses of crop yields, which are increased by the cost of cleaning the sedes of the cereal, particularly in the case of malting industry. Avena Fatua is more fertile and its seeds are shed before harvest in the environment of wheat crops compared to berley, even with applications of herbicides. The most commonly used practice for control in wheat and barley crops is the application of postemergence herbicides. A biotype resistant to clodinafop-propargyl, diclofop methyl and fenoxa-prop-p-ethyl has been registered in southwest of Buenos Aires. Beyond the successful results that can be achieved by the application of herbicides, it must be considered that the selection pressure that these exert in favor of the selection of resistant biotypes, is an unforable consequence of its misuse.Fil: Scursoni, Julio Alejandro. Universidad de Buenos Aires. Facultad de Agronomía; ArgentinaFil: Vigna, Mario Raul. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Bordenave; ArgentinaFil: Gigón, Ramón. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Barrow; ArgentinaFil: Martin, Andrés Nelson. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; ArgentinaFil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentin
Entre arte(s) e poder(es): narrativas sobre a nação no contexto dos 500 anos
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Filosofia e Ciências Humanas. Programa de Pós-Graduação em Antropologia Social.Esta dissertação investiga eventos ligados às comemorações dos 500 anos do Brasil, ocorridos no ano de 2.000: a festa de Porto Seguro, a Mostra do Redescobrimento e um dos módulos que a compôs, a exposição #Negro de Corpo e Alma#. A análise gira em torno da interface entre os campos da arte, da política e do poder, especialmente articulados no contexto comemorativo. Reflete-se, a partir da observação da (re) construção de narrativas, que contou com a inclusão ou exclusão de gêneros discursivos diversos (visuais, textuais e sonoros), sobre a atuação e a interação entre as diferentes instâncias presentes nos eventos: Estado, Imprensa, Intelectuais e Público.This dissertation investigates events related to Brazil#s 500 years celebrations, which happened in 2000: Porto Seguro party, Brazil Rediscovery Exhibition and one of its modules, #Black in body and Soul# Exposition. The analysis involves the interface among art, politics and power, specifically articulated in the celebration context. It is based on narrative re-construction, considering the inclusion and exclusion of several discursive genres (visual, textual and sonorous), about the acting and interaction between different instances in the events: State, Press, Intellectuals and Public
Narrando con Vos: Central American Transnational Narrative in the United States
By the first decade of the 21st century, the Central American population in the United States has become the third largest group of Hispanic or Latinx origin; however, their involvement in various aspects of US society (e.g. literature) is still disproportionally representative of the population. The purpose of this dissertation is to critically study transnational Central American narratives, including literature and film, produced in the United States from 1980 to the present, seeking to contribute to the effort of expanding the representation in the academic realm of this rapidly growing transmigrant community.
It will be presented a framework to the US-Central American transnational narrative will be presented, focusing on how the narrative of Guatemalan-American professor, journalist and novelist Francisco Goldman; Guatemalan author and journalist H��ctor Tobar; Honduran author Roberto Quesada; Salvadoran-American professor and author Marco Villatoro; Salvadoran author and painter Mario Bencastro; Nicaraguan-American author Silvio Sirias; Guatemalan novelist and critic Arturo Arias and Garifuna director Ruben Reyes broaden the heretofore accepted meaning of the socially constructed term Latinx, (commonly identified as of Cuban, Puerto Rican or Mexican origins) by introducing to US Latinx narrative ���Central American themes,��� including the seldom studied Central American immigrant, a political agenda regarding US-Central American relationship and the inclusion of subjects from minority groups such as Mayan and Garinagu
Loan Guarantee Programs for Small-Scale Borrowers: Are They Working?
Investigation whether small-scale borrowings are effective or not indicate the failure of loan guarantees to stimulate the target groups. While it has some merits to boasts, results show that the programs, being subsidy dependent, lead to its unsustainable operation. Hence, audit should be instituted on the three loan guarantee institutions.subsidy, credit program, credit access
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