21,692 research outputs found
University Scholar Series: Alejandro Garcia
Collaborating with DreamWorks
On April 25, 2012 Professor Alejandro Garcia spoke in the University Scholar Series hosted by Provost Ellen Junn at the Dr. Martin Luther King, Jr. Library. Professor Alejandro Garcia developed and teaches Physics of Animation, a science course for visual artists. During 2011, he took a professional leave and worked in DreamWorks Animation\u27s department of Artistic Development as a physics consultant on Madagascar 3: Europe\u27s Most Wanted. In this seminar, Alejandro Garcia describes the animation industry from both the scientific and artistic perspectiveshttps://scholarworks.sjsu.edu/uss/1013/thumbnail.jp
Garcia, Alejandro M.
Centro Asturiano membership record of Alejandro M. Garcia; Socio Number: 126718.https://digitalcommons.usf.edu/asturiano_membership/2869/thumbnail.jp
Evaluación y caracterización de los efectos citotoxico y antitumoral de kaempferitrina /
\ua0tesis que para obtener el grado de Doctorado en Ciencias Bioquímicas, presenta Angel Josabad Alonso Castro ; asesor Alejandro Garcia Carranca70 páginas :\ua0ilustracionesDoctorado en Ciencias Bioquímicas\ua0UNAM, Facultad de Química,\ua0201
Aproximaciones teórico-metodológicas
El presente capítulo se propone aportar al debate acerca de cuáles son los desafíos conceptuales que supone la elaboración de un marco interpretativo que permita abordar las especificidades que presentan los procesos productivos en territorios con estructuras económico-sociales periféricas.Fil: Rofman, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro de Estudios Urbanos y Regionales; ArgentinaFil: Vidosa, Regina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro de Estudios Urbanos y Regionales; ArgentinaFil: Garcia, Ariel Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro de Estudios Urbanos y Regionales; ArgentinaFil: Cowan Ros, Carlos Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro de Estudios Urbanos y Regionales; ArgentinaFil: Garcia, Liliana Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro de Estudios Urbanos y Regionales; Argentin
The Deep End
Treballs de l'alumnat del Grau de Comunicació Audiovisual, Facultat d'Informació i Mitjans Audiovisuals, Universitat de Barcelona, De la idea a la pantalla. Curs: 2020-2021, Tutor: Josep Rovira. // Director: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo; Productor: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo; Guionista: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo; Dir. Fotografia: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo; Càmera: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo;
Il·luminador: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo; Direcció artística: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo; Direcció de so: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo; Muntatge: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo; Música: Jose Alejandro Carrillo Ruiz, Mar González Villanueva i Irene Garcia Alcairo. Equip artístic: Daniel Ian Rogers.El proyecto se basa en la creación de una pieza de videoarte, de poca duración que gire en torno al concepto dado a principio de semestre: la cárcel. Para ello, hemos realizado un análisis metanarrativo del concepto, para tratar de darle una forma determinada y trabajar a partir de él. La cárcel se puede entender literalmente como una prisión física donde se encierra a los prisioneros, pero como todo concepto, se le puede extrapolar varias narrativas dentro de su significado. Así, nuestro análisis se inclinó más por una visión psicológica de lo que implica estar en una cárcel, una jaula mental que las personas podemos llegar a construir a nuestro alrededor. La cárcel que uno puede crear es sutil, porque a vista de los demás es inexistente. Sin embargo, para la persona afectada supone una barrera que le condiciona. De este modo, nuestro videoarte se centra en eso: en la idea de cómo una persona que aparentemente está bien, puede sentirse enjaulada dentro de sus preocupaciones
The blind spots of secularization
According to several international surveys Spain is among the western countries with the most negative views of Jews. While quantitative data on the topic accumulates, there is a significant lack of interpretative approaches that might explain the particular Spanish case. This paper presents the background, methodology and major results of a discussion group-based study on antisemitism, which was conducted in Spain in the autumn of 2009. The study identifies and locates in different socio-economic and ideological milieus the range of stereotypical discourses on Jews, Judaism and the Arab–Israeli conflict in Spain. Analysis of the group meetings shows that, despite growing secularization in Spanish society, the central explanatory variable for persisting and resurging antisemitism in this country is still religion in a broad cultural sense.N
Conclusiones y propuestas
En función de lo aportado colectivamente en el libro que integra el capítulo, nuestro supuesto básico es que no existe posibilidad alguna de una modificación de raíz de la posición relativa significativamente comprometida de los/as agricultores/as familiares, si no se avanza hacia un proyecto alternativo que otorgue capacidad y poder negociador a los sujetos sociales más débiles que pueblan mayoritariamente el sector rural de Argentina. Ello no obsta a que se deban reclamar o postular, tanto en el terreno legislativo como ejecutivo, dispositivos e intervenciones estatales que puedan reducir las desigualdades estructurales o limitar la regresividad de políticas públicas que no apunten a saldar dichas desigualdades. No obstante, consideramos indispensable sostener que solo en el marco de un proyecto nacional que reconozca el conjunto de las falencias estructurales presentadas previamente y avance en decisiones de corto y mediano plazo que se propongan revertir el escenario descripto, será factible alcanzar objetivos que apunten a un crecimiento equitativo con inclusión social, que es necesario impulsar a partir de la articulación entre dispositivos estatales con los/as actores sociales y económicos cooperativos y de capital nacional.Fil: Rofman, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro de Estudios Urbanos y Regionales; ArgentinaFil: Garcia, Liliana Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro de Estudios Urbanos y Regionales; ArgentinaFil: Scardino, Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro de Estudios Urbanos y Regionales; Argentin
Clasificación de palabras no pronunciadas presentes en electroencefalogramas (EEG)
The present work aims to the development of a method for the processing and
classification of electroencephalographic signals (EEG), belonging of a single subject,
to recognize unspoken words belonging to a reduced vocabulary. Specifically,
a precise recognition would allow to mentally control a computer screen cursor,
thus, with this purpose, the vocabulary is composed by the Spanish language
words: “arriba”,“abajo”, “izquierda”, “derecha”, and “seleccionar”.
To start the process, the EEG signals were acquired using a protocol based
on markers, to know a priori in what part of the EEG signal a subject imagines
the pronunciation of an indicated word. With the markers were formed windows,
between which the samples could be found. To accomplish the objective, only the
signals from channels F7, FC5, T7 y P7 (which are the nearest to the Wernicke
and Broca areas) were taken in count. After that, the signals coming from those
channels were filtered using a band-pass FIR filter at 4-25 Hz., and the windows
were adjusted to 256 samples. Furthermore, features were obtained using discrete
wavelet transform (DWT) to train and assess four classifiers: Naive Bayes (NB),
Random Forests (RF), Support Vector Machines (SVM) and Bagging-RF. The
evaluation measures are accuracy and kappa index obtained using 10-folds cross
validation.
EEG signals belonging to 21 subjects were recorded, for each subject around
30 windows for each word were obtained. In the case of the best classifier, Bagging-
RF, the accuracy rate and kappa index average were 40.48% and 0.24, respectively. Furthermore, an analysis at the unspoken words level classification for Bagging-
RF and Random Forests was performed, where the classifiers were assessed with
recall, specificity, precision, and f-measure.
The results are still far of the precision needed to effectively control a BCI, but
they are encouraging because accuracy rates are above 20 %, i.e. above chance for
five classes, and kappa values are greater than 0, which are values comparable
to state of the art research. Based on them, it can be concluded that EEG signals
actually, contain information to allow the classification of the unspoken words
belonging to a reduced vocabulary by the proposed method. That is why, unspoken
speech turns out to be a promising and intuitive electrophysiologic source to
control BCIs.La presente investigación tiene como objetivo desarrollar un método de procesamiento
y clasificación de señales electroencefalográficas (EEG) de un individuo
para reconocer palabras no pronunciadas de un vocabulario reducido. Específicamente,
un reconocimiento preciso permitirá controlar mentalmente el cursor de
una computadora, ya que, con ese fin, el vocabulario consta de las palabras del
lenguaje español: “arriba”, “abajo”, “izquierda”, “derecha”, y “seleccionar”.
Para iniciar el proceso, las señales EEG se adquieren utilizando un protocolo
básico basado en marcadores, para saber a priori en qué parte de la señal la
persona imagina la dicción (habla no pronunciada) de la palabra indicada, con
los marcadores se forman ventanas. Para cumplir el objetivo, únicamente son de
interés las señales de los canales F7, FC5, T7 y P7 (los más cercanos a las áreas
cerebrales de Broca y Wernicke). Posteriormente, éstas son filtradas utilizando
un FIR pasa-bandas en el rango de 4-25 Hz, y las ventanas son ajustadas a 256
muestras. Además, se extraen características mediante la transformada wavelet
discreta que son utilizadas para entrenar y evaluar a cuatro clasificadores: Naive
Bayes (NB), Random Forests (RF), Máquina de vectores de soporte (SVM), y Bagging
de Random Forest (Bagging-RF). Las medidas de evaluación son la exactitud
y el coeficiente kappa obtenidas mediante validación cruzada con 10 pliegues.
Se grabaron señales EEG de 21 individuos, para cada uno de los cuales se tienen
alrededor de 30 ventanas correspondientes a cada una de las palabras. Para el caso
del mejor clasificador Bagging-RF, los valores promedio tanto del porcentaje de exactitud como para el coeficiente kappa son 40.48% y 0.24, respectivamente.
Además, se presenta un análisis de Bagging-RF y RF a nivel de la clasificación de
las palabras no pronunciadas, donde se evalúa a los clasificadores con el recuerdo,
la especificidad, la precisión y la medida-F.
Los resultados aún distan de lo necesario para controlar eficazmente a una
BCI sin embargo, debido a que los porcentajes de exactitud están arriba del 20 %,
es decir, arriba del azar para cinco clases, y los valores de kappa mayores a 0, se
puede concluir que las señales EEG efectivamente contienen información que hace
posible la clasificación de las palabras no pronunciadas del vocabulario reducido
mediante el método propuesto
Análisis y clasificación de electroencefalogramas (EEG) registrados durante el habla imaginada
La forma más sencilla de comunicarnos con otras personas es mediante el lenguaje
oral. Sin embargo, existen situaciones en las que no es posible emitir una señal acústica
entendible, o bien, se requiere comunicar un mensaje de forma privada o en ambientes
ruidosos. En estas situaciones son deseables sistemas, conocidos como interfaces de
habla silente (SSI del inglés Silent Speech Interfaces), que traten de aprovechar diferentes
tipos de habla registradas de diferentes órganos involucrados en la producción
del lenguaje hablado como: el tracto vocal, el rostro, la lengua, los dientes, la glotis e
inclusive el cerebro. Este último también ha sido de interés para el área de investigación
de las interfaces cerebro-computadora (BCI, por sus siglas en inglés), las cuales tienen
a la comunicación como uno de sus propósitos principales. Para tratar de lograr este
propósito, las BCI típicas registran la actividad cerebral mediante electroencefalogramas
(EEG), y se basan en 4 neuro-paradigmas (potenciales corticales lentos, imágenes
motoras, señales P300 y potenciales visuales evocados) que suelen ser poco intuitivos y
necesitan de una traducción al dominio del lenguaje. En consecuencia, la presente tesis
explora un neuro-paradigma alternativo llamado habla imaginada, el cual se refiere a
la pronunciación interna de palabras pero sin emitir sonidos ni articular gestos faciales
Understanding Convective Organization and Seeking it Through Observations
This study pursues two main objectives: firstly, to unravel the sensitivity of convective self-aggregation (SA) to diverse physical parameterizations, and secondly, to comprehend the characteristics of convective organization in observations, shedding light on associated physical mechanisms. Studying organization is of profound significance due to its impact on the radiation budget, climate feedbacks, hydrological cycle, and extreme precipitation patterns, impacting society and climate. Addressing the first objective, radiative-convective equilibrium simulations explore the effects of 24 parameterization combinations on aggregated and random convective patterns. Key to our analysis is understanding the role of maximum free convection distance dclr, found crucial for SA, and its modulation by parameterizations. SA predominantly emerges in scenarios with limited convective cores and extensive dclr values (since they are anticorrelated), influenced by sub-grid scale mixing, planetary boundary layer (PBL), and microphysics. Horizontal mixing primarily influences SA by determining the size of convective cores, which is tight to their number and spacing. On the other hand, the influence of microphysics primarily stems from rain evaporation and its subsequent effects on CPs. Surprisingly, perturbations to ice cloud microphysics had a notably limited effect. Non-local PBL mixing schemes enhance SA by reducing PBL heights and increasing entrainment at the PBL top, facilitated by stronger vertical moisture gradients. This heightened entrainment to the CPs gust fronts, diminishing CPs sizes and intensities. This reduction hampers efficient moisture redistribution and convective triggering, as strong entrainment limits gust front convergence, constraining convective initiation, increasing dclr and fostering the formation of dry patches that drive SA. For our second objective, we move beyond idealized models, utilizing state-of-the-art observations, reanalysis data, advanced numerical models, and machine learning techniques. Applying multivariate analysis typically used for SA, we examine convective organization and its impact on total column water vapor variability in three mesoscale sized domains within the tropical western Pacific warm pool region, lying either north of the equator (2-9N or 3-10N), or directly straddling the equator 3S-4N). During periods with limited SST gradients (boreal summer/autumn), convection tends to be random, with small horizontal humidity gradients. In periods with a weak zonal SST gradient (> 10^-3 K/km, boreal winter/spring), aggregated convection prevails, exhibiting larger humidity gradients, stronger outgoing longwave radiation, and a drier atmosphere. Intermittent episodes of random convection and smaller humidity gradients disrupt this pattern. A composite analysis of such events associates them with westward propagating convectively coupled wave-like modes in the three regions, suggesting these modes play a key role in mesoscale water vapor variability during boreal winter and spring, potentially influencing long-term variations in convective organization. To further understand the mechanisms that lead and prevent the development of convection organization. Our study leverages on realistic simulations, underscoring the important role of humidity advection in orchestrating the organization and disorganization of convection, with wind shear playing a dual role in either organizing or disorganizing convection, contingent on its strength and direction. In terms of its characteristics, when convection is organized, the atmosphere is significantly drier compared to the random state. Diabatic feedbacks consistently works to cluster convection, but large-scale dynamics play a more important role in instigating and disrupting organization over the warm pool region, since the large-scale dynamics can export moist gross static energy from moist to dry regions, disallowing organization.This study pursues two main objectives: firstly, to unravel the sensitivity of convective self-aggregation (SA) to diverse physical parameterizations, and secondly, to comprehend the characteristics of convective organization in observations, shedding light on associated physical mechanisms. Studying organization is of profound significance due to its impact on the radiation budget, climate feedbacks, hydrological cycle, and extreme precipitation patterns, impacting society and climate. Addressing the first objective, radiative-convective equilibrium simulations explore the effects of 24 parameterization combinations on aggregated and random convective patterns. Key to our analysis is understanding the role of maximum free convection distance dclr, found crucial for SA, and its modulation by parameterizations. SA predominantly emerges in scenarios with limited convective cores and extensive dclr values (since they are anticorrelated), influenced by sub-grid scale mixing, planetary boundary layer (PBL), and microphysics. Horizontal mixing primarily influences SA by determining the size of convective cores, which is tight to their number and spacing. On the other hand, the influence of microphysics primarily stems from rain evaporation and its subsequent effects on CPs. Surprisingly, perturbations to ice cloud microphysics had a notably limited effect. Non-local PBL mixing schemes enhance SA by reducing PBL heights and increasing entrainment at the PBL top, facilitated by stronger vertical moisture gradients. This heightened entrainment to the CPs gust fronts, diminishing CPs sizes and intensities. This reduction hampers efficient moisture redistribution and convective triggering, as strong entrainment limits gust front convergence, constraining convective initiation, increasing dclr and fostering the formation of dry patches that drive SA. For our second objective, we move beyond idealized models, utilizing state-of-the-art observations, reanalysis data, advanced numerical models, and machine learning techniques. Applying multivariate analysis typically used for SA, we examine convective organization and its impact on total column water vapor variability in three mesoscale sized domains within the tropical western Pacific warm pool region, lying either north of the equator (2-9N or 3-10N), or directly straddling the equator 3S-4N). During periods with limited SST gradients (boreal summer/autumn), convection tends to be random, with small horizontal humidity gradients. In periods with a weak zonal SST gradient (> 10^-3 K/km, boreal winter/spring), aggregated convection prevails, exhibiting larger humidity gradients, stronger outgoing longwave radiation, and a drier atmosphere. Intermittent episodes of random convection and smaller humidity gradients disrupt this pattern. A composite analysis of such events associates them with westward propagating convectively coupled wave-like modes in the three regions, suggesting these modes play a key role in mesoscale water vapor variability during boreal winter and spring, potentially influencing long-term variations in convective organization. To further understand the mechanisms that lead and prevent the development of convection organization. Our study leverages on realistic simulations, underscoring the important role of humidity advection in orchestrating the organization and disorganization of convection, with wind shear playing a dual role in either organizing or disorganizing convection, contingent on its strength and direction. In terms of its characteristics, when convection is organized, the atmosphere is significantly drier compared to the random state. Diabatic feedbacks consistently works to cluster convection, but large-scale dynamics play a more important role in instigating and disrupting organization over the warm pool region, since the large-scale dynamics can export moist gross static energy from moist to dry regions, disallowing organization
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