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Visuospatial perception in subjects with out-body-experiences
Get PDF"Visual imagery typically refers to the voluntary creation of the conscious visual experience
of an object or scene in its absence, solely in the mind. There are individuals who have no experience of imagery at all –their minds are completely blind: aphantasia. Hyperphantasia is at the other end of the imagery spectrum: strong and often photo-like imagery. One of the key limitations to studying visual imagery has been its internal private and subjective nature. An intrinsic characteristic of the imagery experience is its degree of vividness, the clarity and richness of the mental representation. The most commonly used questionnaire is the vividness of visual imagery questionnaire (VVIQ).
Planta de tratamiento de crudo
Get PDF"Este documento tiene por objeto poner en contexto el proyecto que se llevará a cabo. Utilizando información de proyectos similares y en zonas aledañas se busca poder comparar algunas de las distintas Plantas de Tratamiento de Crudo que se encuentran en Argentina para así evaluar las tecnologías más utilizadas en la industria y las que mejor se aplican al diseño de la PTC a desarrollar."Proyecto final Ingeniería Industrial (grado) - Instituto Tecnológico de Buenos Aires, Buenos Aires, 202
Synaptic homeostasis and fake news
Get PDF"The spread of fake news has become a major problem for societies. Recent studies showed that when people are confronted with invented news, can believe and even generate a false memory of these events, and this is increased when the content of the fake material is consistent with their ideology. Further, it has been observed that there are individual factors such as cognitive or analytical thinking abilities that influence the generation of false memories. Besides, a recent
study found that decision-making is a result of the combination of the person's chronotype and the sleep pressure they have at the time of the evaluation. Here, we hypothesize that people's sleep pressure when observing fake news is a predictor of the capacity to generate false memories about fake news. To study this, we developed a set of fake news that was presented mixed with real news. We discuss the results in the framework of the Synaptic Homeostasis Hypothesis.
Análisis de datos de pacientes y consultantes con COVID-19
No full textProyecto final Ingeniería Informática (grado) - Instituto Tecnológico de Buenos Aires, Buenos Aires, 202
Diseño y prototipado de órtesis correctora de columna con tecnología de impresión 3D para escoliosis idiopática en una paciente adolescente
No full text"El objetivo del presente trabajo es desarrollar un sustituto a los corsés tradicionales para escoliosis idiopática, reemplazándolos por una órtesis correctora personalizada realizada a partir del estudio del caso particular de una paciente adolescente."Proyecto final Bioingeniería, Ingeniería Mecánica (grado) - Instituto Tecnológico de Buenos Aires, Buenos Aires, 202
Impairment of aversive episodic memories during covid-19 pandemic: The impact of emotional context on memory processes
No full text"Episodic memory is the ability to recall about what, where and when the event happened. Furthermore, there is a consensus that pleasant or aversive events are better remembered than neutral events and that episodic memory processes are modulated by anxiety and depression. People's mental health has deteriorated due to the COVID-19 pandemic, showing a growth in anxiety and depressive symptoms. Here, we hypothesize that the increase in negative symptoms modifies the ability to encode and consolidate memories. To study this, we evaluated the effects of emotional context on encoding and consolidation of aversive and neutral episodic memories.
Investigations on energy optimal solutions to control a forestry crane
No full textDue to the progressing climate change, climate-neutral resources are becoming increasingly important. The forest industry is aware of this problem and hence, is looking for new technologies to make the production of its natural resource more ecient. Therefore, this thesis presents an energetic optimization of a forestry crane. For this purpose, a pseudoinverse solution of the crane kinematics is optimized by the gradient projection method according to minimum hydraulic pressure and ow rate. The hydraulic pressure reveals to be the relevant optimization parameter. By increasing the feedback pressure, its inuence on high-pressure peaks is increased in order to successfully reduce these. To maximize the energy savings, a hydraulic transformer is included in this approach. By coupling the inner and outer boom, potential energy is utilized for contrary motions of these. The developed algorithm for optimizing the energy demand is implemented in a holistic simulation model of a forestry crane arm. The eectiveness of this approach is tested in the model using representative trajectories. Energy savings of up to 26.9 % compared to a least norm pseudoinverse solution can be determined using the optimized control system. When the energy-saving potential of the coupling of the inner and outer boom is also considered, the total reduction in energy increases to up to 31.8 %
Actual Alimentos Bolívar: diagnóstico empresario y plan de acción
No full text"El sujeto de estudio es la empresa Actual Alimentos Bolívar, una cadena de supermercados de la provincia de Buenos Aires que cuenta con sedes en diferentes localidades. El mismo fue realizado en tres etapas con el objetivo de identificar posibles problemáticas en la empresa y a partir de estas lograr encontrar puntos de mejora que brinden una solución que englobe a los problemas de mayor nivel y que permita a la empresa crecer y continuar con su camino hacia el cumplimiento de sus objetivos estratégicos."Trabajo Final Licenciatura en Administración y Sistemas (grado) - Instituto Tecnológico de Buenos Aires, Buenos Aires, 202
Optimización de modelos predictivos para Series de Tiempo Jerárquicas (HTS)
No full text"Las series de tiempo jerárquicas (HTS) son un subconjunto de series de tiempo que están contenidas dentro de una estructura o jerarquía. Esta estructura puede estar dada por características propias del producto/servicio, como su categoría, departamento, etc., o por una división geográfica, como por ejemplo ciudad, estado o país. Las técnicas clásicas como ARIMA o ETS no son óptimas para este tipo de conjunto de series, ya que la estructura puede aportar información valiosa que pasaría inadvertida o al menos no tan fácilmente identificable si modelamos las series de tiempo por separado. Debido a esto, se comparó el desempeño de Redes Neuronales LSTM, las cuales son ampliamente utilizadas para series de tiempo, y de técnicas específicas para series de tiempo jerárquicas como Bottom-Up y Reconciliación Óptima para predecir las ventas de departamentos dentro de tiendas de Walmart en EE.UU. Se analizaron en detalle 70 series de tiempo a nivel tienda-departamento y se demostró la eficacia de estas.""Hierarchical Time Series (HTS) are a subset of time series that are contained inside of a structure or hierarchy. This kind of structure may be defined by important characteristics of the product/service, like its category or department, or it may be defined by some geographic division, for instance, city, state, country and so on. Classic approaches for time series, like
ARIMA or ETS are suboptimal for this kind of series due to the fact that this hierarchy could give us interesting information for forecasting that may be hidden or not easily identifiable if we model all the series separately. Because of that, we compared the performance of LSTM Neural Networks, which are widely used for time series, and some specific approaches for hierarchical
time series as Bottom-up and Optimal Reconciliation in order to forecast department sales for Walmart stores in the USA. We performed an in-depth analysis for 70 store-departamental time series and showed the efficacy of these techniques for each one."Trabajo Final Ciencia de Datos (especialización) - Instituto Tecnológico de Buenos Aires, Buenos Aires, 202
Control robusto H∞ para la velocidad de desplazamiento de un UAV en base a estimación de flujo óptico
No full text"Se presenta el diseño del control para la velocidad de desplazamiento de un vehículo aéreo de seis rotores. La técnica de diseño utilizada es el control optimo en H-infinito con el objetivo de conseguir rendimiento robusto ante la incertidumbre en el modelo de la dinámica de la velocidad de desplazamiento. Se considera que buena parte de la incertidumbre es atribuible a retardos de tiempo inciertos que introduce el propio algoritmo que se utiliza para estimar la velocidad de desplazamiento. El vehículo realiza a bordo la estimación de esta última a través de un sensor de flujo óptico implementado con una cámara y un procesador de alto nivel en el cual además se implementa la ley de control. Junto con el diseño del control, se muestra el procedimiento de identificación de sistemas utilizado para conseguir una descripción de la dinámica a través de una familia de plantas con incertidumbre dinámica global a través de la toma de datos experimentales. Finalmente se exhiben resultados experimentales con la implementación del sistema de control completo.""The design of a displacement velocity controller is presented for a six rotor aerial vehicle. H–infinity control is proposed in order to achieve robust performance in presence of dynamic model uncertainty. It is assumed that a considerable amount of uncertainty is due to time delays introduced by the algorithms employed. The estimation of the vehicle’s displacement velocity is carried out
on-board through an optical flow sensor implemented employing a camera and a high level processor as well as the H–infinity controller. Through experimental data, the system’s identification procedure used to obtain a description of the plant as a family of models with global dynamic uncertainty is also presented as part of the design process. The implemented optical flow estimation
methods are also presented as well as the tuning procedures employed which may affect the results of the system’s identification and the control performance. Experimental results are presented with details regarding the implementation phase.