146 research outputs found
La metáfora del viaje : puentes entre el universo simbólico de lxs estudiantes y la academia
No full textFil: Mantero Mortillaro, Alejandro. Universidad Nacional Arturo Jauretche; Argentina.El presente trabajo es una reflexión sobre los desafíos que tenemos como docentes para pensar los modos en los que enseñamos en los escenarios actuales. La experiencia narrada gira entorno a las dificultades que entrañan los texto académicos para un colectivo estudiantil que en su mayoría es primera generación de estudiantes universitarios
Shear-resistant hydrogels to control permeability of porous tubular scaffolds in vascular tissue engineering
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Unsupervised Random Forests and Target Outcome Relationship Exploration
No full textRandom forest is a machine learning algorithm that has been applied to a variety of problems, though mostly in the supervised setting. Here, a new method of applying random forests to the unsupervised setting will be introduced, which we call sidClustering. sidClustering first involves what is called sidification of the features by: first, staggering the features so they have mutually exclusive ranges; and secondly, forming all pairwise interactions from these shifted variables. Sidification results in what are called the SID main features and the SID interaction features, respectively. Then a multivariate random forest (MVRF) from the randomForestSRC R-package (whose splitting rules can handle both continuous and categorical target variables at the same time) is used to predict the SID main features. Sidification in conjunction with MVRF provides a better way to carve out the data space which results in better measures of distance between observations. sidClustering’s advantages are that it is adept at finding clusters arising from categorical and/or continuous variables, requires minimal tuning (just like random forests), and retains all of the advantages of random forests regarding computational scaling for big data without distributional and specification assumptions. Later, we will discuss the development of a rule generator and method for estimating k (the number of clusters to be determined). The idea is that after the clusters have been determined, we need some way of describing the clusters with human readable output. This is done by first discretizing all the continuous features by utilizing the splits from a random forest and then create rules based on a small set of features that most drive the clusters. This method can also be applied to the semisupervised setting and gives us a method of peaking into the random forest model. As for the estimation of k, we take advantage of the existence of the OOB set in the random forest algorithm and test for the k that brings out the most stable clusters. The idea is that the correct k value should bring about the most consistent clusters. Lastly, we will go over covariate adjusted random forest statistics. These take advantage of the multivariate random forest framework to determine estimates of the variability and covariance between outcomes. The idea is that by utilizing random forest weights we are able to develop weighted versions of these statistics for individual observations.</p
The medico-legal observation of an aggressive urogenital fibromatosis with isolated development not related to any traumatic event
No full textDesmoid tumor is a fibroproliferative neoplasm with an intermediate malignancy and it can be localized in every bodily district: some locations are considered exceptional, like the urogenital localization. The Author point out a rare case of giant idiopathic scrotal fibromatosis that was found during an autopsy. A widower, that lived alone in poor hygienic conditions, was found dead in his house. The Judicial Authority ordered the autopsy, that was performed two days later at the Medico-Legal Section of Milan University. External examinations revealed only the considerable dimension of the scrotum (cm 24×41). The cause of death was fixed in a cardiac tamponade due to a natural heart laceration localized in correspondence of a transmural infarction. The toxicological exam resulted negative, while the histopathological and immunohistochemical analysis qualify the scrotal mass as a desmoids tumor. Due to the absence of predisposing conditions and of fibroproliferative infiltration in bladder and retroperitoneal space, the neoplasm was configured as an idiopathic desmoid tumor. The presented case gives the reason for the discussion concerning medico-legal aspects that are typical of rare neoplasms
Archivo audiovisual voces de la memoria : Testimonios de ocultamiento y destrucción de objetos culturales como actos de resistencia a la censura y persecución de la dictadura cívico militar argentina de 1976-1983
No full textEl proyecto de investigación "Testimonios del ocultamiento y destrucción de libros y otros objetos culturales en la Argentina dictatorial (1976-1983)" se propuso indagar en una de las zonas del genocidio de Estado de la última dictadura militar, una zona poco enunciada dada la magnitud de los crímenes que se cometieron, ya que focaliza en la acción de la ciudadanía de deshacerse de los objetos culturales que venían siendo prohibidos, quemados, incautados, en una suerte de requisas acompañadas o seguidas de detenciones, persecuciones, asesinatos y desapariciones. Para ello, el equipo de investigación se propuso realizar entrevistas testimoniales audiovisuales. En el periodo 2017-2020, el grupo realizó dieciséis entrevistas testimoniales, de las cuales seleccionó catorce para la apertura del Archivo Audiovisual "Voces de la Memoria" de UNAJ. Continúa realizándolas, pero de modo virtual, en el marco de un nuevo Proyecto de Investigación. Incialmente, el equipo resguardó las entrevistas en un archivo interno, para que comiencen a ser subidas al Repositorio Institucional Digital de la Biblioteca Central de la UNAJ, de modo de facilitar su apertura a la consulta de la comunidad académica. Es un archivo de relatos testimoniales sobre destrucción y/u ocultamiento de libros y otros objetos culturales que implica el relato de experiencias personales sensibles y de valor documental respecto de la historia reciente. Se trata de la constitución del primer archivo testimonial audiovisual creado en torno a esta temática. Se ha iniciado con testimonios vinculados con el conurbano sur de la provincia de Buenos Aires, pero tiende a ampliar sus márgenes territoriales por la derivada metodológica del boca a boca para la identificación de testimonios. En consecuencia, es posible que sea solicitado por otras instituciones para su consulta.Fil: Aiudi, Silvana. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Bartalini, Carolina. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Biaggini, Martin Alejandro. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Castro, Pablo Daniel. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Kaplan, Laura Sabina. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Mantero Mortillaro, Iván Alejandro. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Medina, Patricia Fabiana. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Otazúa, Leticia. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Quiroga, Andrea Fabiana. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Tejero Yosovitch, Yael Natalia. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Vilariño, Andrea Diana. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina.Fil: Vinelli, Elena Elvira. Universidad Nacional Arturo Jauretche. Instituto de Estudios Iniciales; Argentina
Unsupervised random forests
No full textsidClustering is a new random forests unsupervised machine learning algorithm. The first step in sidClustering involves what is called sidification of the features: staggering the features to have mutually exclusive ranges (called the staggered interaction data [SID] main features) and then forming all pairwise interactions (called the SID interaction features). Then a multivariate random forest (able to handle both continuous and categorical variables) is used to predict the SID main features. We establish uniqueness of sidification and show how multivariate impurity splitting is able to identify clusters. The proposed sidClustering method is adept at finding clusters arising from categorical and continuous variables and retains all the important advantages of random forests. The method is illustrated using simulated and real data as well as two in depth case studies, one from a large multi‐institutional study of esophageal cancer, and the other involving hospital charges for cardiovascular patients
Fingerprint multiplex CARS at high speed based on supercontinuum generation in bulk media and deep learning spectral denoising
No full textWe introduce a broadband coherent anti-Stokes Raman scattering (CARS) microscope based on a 2-MHz repetition rate ytterbium laser generating 1035-nm high-energy (≈μJ level) femtosecond pulses. These features of the driving laser allow producing broadband red-shifted Stokes pulses, covering the whole fingerprint region (400-1800 cm-1), employing supercontinuum generation in a bulk crystal. Our system reaches state-of-the-art acquisition speed (<1 ms/pixel) and unprecedented sensitivity of ≈14.1 mmol/L when detecting dimethyl sulfoxide in water. To further improve the performance of the system and to enhance the signal-to-noise ratio of the CARS spectra, we designed a convolutional neural network for spectral denoising, coupled with a post-processing pipeline to distinguish different chemical species of biological tissues
El Aktionsart de pacientes con Alzhéimer: un análisis de corpus desde la Gramática del Papel y la Referencia
No full textEn este artículo usamos la Gramática del Papel y la Referencia (Van Valin y LaPolla, 1997; Van Valin, 2005), en especial su representación semántica por medio del aspecto léxico o Aktionsart, y aplicamos este modelo lingüístico a muestras por etapas del corpus PerLA de pacientes españoles con Alzheimer (Pérez Mantero, 2014). Con ella, analizamos la frecuencia y distribución relativa de los verbos de estas muestra mediante estadísticos básicos: media, moda, mediana, varianza, desviación típica, rango intercuartílico y coeficiente de variación. Nuestros resultados señalan un uso sistemático de los estados como Aktionsarten preferente respecto al resto de tipos de verbos, así como la existencia de cierta variabilidad en las actividades y las realizaciones activas y la ausencia de tipos concretos de verbos causativos. Entre las explicaciones que ofrecemos, destacamos que los estados tienen una mayor facilidad de procesamiento cognitivo y los verbos causativos expresan estados de cosas estáticos, desconectados entre sí
Stayers and the Leavers: The Identity of S/FL Teachers at a Time of Critical Shortage
No full textAuthor manuscript version of chapter published in:
Swanson, P. (2013). Stayers and the Leavers: The identity of S/FL teachers at a time of critical shortage. In P. Miller, J. Watzke, & M. Mantero (Eds.), Readings in language studies (Vol. 3): Language & identity (pp. 285-311). St. Louis, MO: International Society for Language Studies, Inc. https://doi.org/10.1108/978-1-64802-761-120251019
(c) International Society for Languages Studie
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Using Machine Learning to Understand Microgeographic Determinants of the Zika Vector, Aedes aegypti
No full textBackground: There are limited data on why the 2016 Zika outbreak in Miami-Dade County was confined to certain neighborhoods. In this research, Aedes aegypti, the primary vector of Zika, are studied to examine neighborhood-level differences in their population dynamics and underlying processes.Methods: Weekly mosquito data were acquired from the Miami-Dade County Mosquito Control from 2016 to 2020 from 172 traps deployed around Miami-Dade County. Using Random Forest, a machine learning method, predictive models of spatiotemporal dynamics of Ae. aegypti in response to meteorological conditions and neighborhoodspecific socio-demographic and physical characteristics, such as land-use and land-cover (LULC) type and income level, were created. The study area was divided into two groups: areas affected by local transmission of Zika during the 2016 outbreak and unaffected areas.Results: Ae. aegypti populations in areas affected by Zika were more strongly influenced by 14- and 21-day lagged weather conditions. In the unaffected areas, mosquito populations were more strongly influenced by land-use and day-of-collection weather conditions.Conclusions: There are neighborhood-scale differences in Ae. aegypti population dynamics. These differences in turn influence vector-borne disease diffusion in a region. These results have implications for vector control experts to lead neighborhood-specific vector control strategies and for epidemiologists to guide vector-borne disease risk preparations, especially for containing the spread of vector-borne disease in response to ongoing climate change.</p
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