Latent Variable Model for Multi-modal Translation

In this work, we propose to model the interaction between visual and textual features for multi-modal neural machine translation (MMT) through a latent variable model. This latent variable can be seen as a multi-modal stochastic embedding of an image and its description in a foreign language. It is used in a target-language decoder and also to predict image features. Importantly, our model formulation utilises visual and textual inputs during training but does not require that images be available at test time. We show that our latent variable MMT formulation improves considerably over strong baselines, including a multi-task learning approach (Elliott and K\'ad\'ar, 2017) and a conditional variational auto-encoder approach (Toyama et al., 2016). Finally, we show improvements due to (i) predicting image features in addition to only conditioning on them, (ii) imposing a constraint on the minimum amount of information encoded in the latent variable, and (iii) by training on additional target-language image descriptions (i.e. synthetic data).Comment: Paper accepted at ACL 2019. Contains 8 pages (11 including references, 13 including appendix), 6 figure

The habitacional problematic and territorial planning at the municipal field : case studies

En la Provincia de Buenos Aires no todos los sectores tienen el mismo acceso a la ciudad. A consecuencia de la lucha social y como fruto del juego dialéctico de las clases sociales, el Estado pone en práctica la política habitacional como parte del sistema de políticas sociales con los objetivos de abarcar y resolver las necesidades de vivienda. Sin embargo, las transformaciones globales acontecidas en años recientes, modificaron de modo sustancial el rol del Estado entre otros en nuestro país, generándos procesos de desconcentración, de delegación de responsabilidades anteriormente a cargo de los niveles superiores del Estado provincial y nacional. En este contexto, se presentan resultados de una investigación realizada en el marco de una Beca de Iniciación (de Tipo A, UNLP). El proyecto procura avanzar en el conocimiento de los cambios producidos en los últimos treinta años en la Provincia de Buenos Aires, en la concepción de la problemática habitacional y en las modalidades implementadas para su resolución. Se parte de la hipótesis que dicha problemática y las gestiones que se abordan desde el Estado para su resolución, traslucen la forma que adopta la producción social del espacio en economías capitalistas dependientes.In the Buenos Aires Province is not all sectors have equal access to the city. As a result of social struggle and as a result of the dialectical interplay of social classes, the state implements housing policy as part of social policy system with the objectives to encompass and address housing needs. However, global changes occurred in recent years, substantially amended the state's role in our country, among others, generating deconcentration, delegation of responsibilities previously carried out by the higher levels of Provincial and National State. In this context, results of research conducted under a grant type A (UNLP) are presented. The project seeks to advance knowledge of changes in the last thirty years in the Province of Buenos Aires, in the design of housing problems and the procedures implemented to resolve. It starts from the assumption that the problem and the steps that are covered by the State for resolution, foreshadow the shaping of the social production of space dependent capitalist economies.Fil: Rios, Miguel. Universidad Nacional de La PlataFil: Seimandi, Miguel. Universidad Nacional de La Plat

Full of Pride: Improving Latino Engagement and Retention in USD\u27s LGBT+ Community

The purpose of my study was to examine and implement strategies that would get gay Latino students at USD to engage more with the LGBT+ community on campus. Using McNiff’s action research method, I researched how I can work effectively with USD’s LGBT+ community to create a more diverse community that enhances the involvement of Latino students. My findings indicate that Latino students choose to explore their LGBT+ identity through other identity-based organizations and that a stronger need for community building is critical to enhance the involvement of Latino students within the LGBT+ community

Secondary control in islanded smart distribution systems considering renewable resources and energy storage: A centralized approach based on convex optimization

This thesis proposes a receding horizon strategy for the secondary control of islanded microgrids. The proposed control takes into account the action of the primary control as well as the references given by the tertiary control. A convex optimization model is solved in each time step, based on a linear approximation of the frequency-dependent power flow equations. The main objective of the control is to carry out frequency and voltages to suitable values, taking into account capacity limits of renewable sources and energy-storage devices..

Secondary control in islanded smart distribution systems considering renewable resources and energy storage: A centralized approach based on convex optimization

This thesis proposes a receding horizon strategy for the secondary control of islanded microgrids. The proposed control takes into account the action of the primary control as well as the references given by the tertiary control. A convex optimization model is solved in each time step, based on a linear approximation of the frequency-dependent power flow equations. The main objective of the control is to carry out frequency and voltages to suitable values, taking into account capacity limits of renewable sources and energy-storage devices..

A importância da intervenção do fisioterapeuta na manutenção e/ou regressão dos défices nas funções motoras nos principais tipos de demência: uma revisão bibliográfica

Projeto de Graduação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Licenciado em FisioterapiaObjetivo: A importância da intervenção do fisioterapeuta na manutenção e/ou regressão dos défices nas funções motoras nos principais tipos de Demência. Metodologia: Pesquisa computorizada nas bases de dados Pubmed/Medline, ScienceDirect e B-on, de modo a identificar estudos que avaliaram, diagnosticaram e reabilitaram indivíduos com Demência. Resultados: Nesta revisão foram incluídos 8 artigos contendo 711 indivíduos, sendo que 3 referem-se à eficácia da Fisioterapia em indivíduos com doença de Alzheimer, 3 ao impacto de uma intervenção motora no equilíbrio em indivíduos Dementes e 2 ao impacto de uma intervenção motora na mobilidade funcional em indivíduos com Demência. Conclusão: A atuação da Fisioterapia representa um marco importante não só na própria manutenção, como na melhoria de funções motoras como o equilíbrio, mobilidade/marcha, proprioceção e fortalecimento muscular, que promovem um menor número de quedas e, consequentemente, uma maior independência nas atividades de vida diária em indivíduos com os principais tipos de demências.Objective: The importance of the physical therapist intervention in the maintenance and/or regression of defecits in motor functions in the main types of dementia. Methodology: Computerized search in the databases Pubmed/Medline, ScienceDirect and B-on, in order to identify studies that evaluated, diagnosed and rehabilitated individuals with dementia. Results: In this review were included 8 articles containing 711 individuals, on wich 3 refer to the efficacy of Physiotherapy in individuals with Alzheimer's disease, 3 the impact of a motor intervention in balance of individuals with dementia and 2 the impact of a motor intervention in functional mobility in individuals with dementia. Conclusion: The role of physiotherapy is an important milestone not only in their own maintenance, but also in the improvement of motor functions like balance, mobility/gait, proprioception and muscular strengthening, that promote fewer falls and, consequently, greater independence in daily life activities in individuals with main types of dementias

Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels

Intensive Care in-hospital mortality prediction has various clinical applications. Neural prediction models, especially when capitalising on clinical notes, have been put forward as improvement on currently existing models. However, to be acceptable these models should be performant and transparent. This work studies different attention mechanisms for clinical neural prediction models in terms of their discrimination and calibration. Specifically, we investigate sparse attention as an alternative to dense attention weights in the task of in-hospital mortality prediction from clinical notes. We evaluate the attention mechanisms based on: i) local self-attention over words in a sentence, and ii) global self-attention with a transformer architecture across sentences. We demonstrate that the sparse mechanism approach outperforms the dense one for the local self-attention in terms of predictive performance with a publicly available dataset, and puts higher attention to prespecified relevant directive words. The performance at the sentence level, however, deteriorates as sentences including the influential directive words tend to be dropped all together.Comment: Technical Reports at the Department of Medical Informatics, Amsterdam UMC, 2021. https://kik.amc.nl/KIK/reports/TR2021-01.pd

Short-term fire front spread prediction using inverse modelling and airborne infrared images

A wildfire forecasting tool capable of estimating the fire perimeter position sufficiently in advance of the actual fire arrival will assist firefighting operations and optimise available resources. However, owing to limited knowledge of fire event characteristics (e.g. fuel distribution and characteristics, weather variability) and the short time available to deliver a forecast, most of the current models only provide a rough approximation of the forthcoming fire positions and dynamics. The problem can be tackled by coupling data assimilation and inverse modelling techniques. We present an inverse modelling-based algorithm that uses infrared airborne images to forecast short-term wildfire dynamics with a positive lead time. The algorithm is applied to two real-scale mallee-heath shrubland fire experiments, of 9 and 25 ha, successfully forecasting the fire perimeter shape and position in the short term. Forecast dependency on the assimilation windows is explored to prepare the system to meet real scenario constraints. It is envisaged the system will be applied at larger time and space scales.Peer ReviewedPostprint (author's final draft

Computing wildfire behaviour metrics from CFD simulation data

In this article, we demonstrate a new post-processing methodology which can be used to analyse CFD wildfire simulation outputs in a model-independent manner. CFD models produce a great deal of quantitative output but require additional post-processing to calculate commonly used wildfire behaviour metrics. Such post-processing has so far been model specific. Our method takes advantage of the 3D renderings that are a common output from such models and provides a means of calculating important fire metrics such as rate of spread and flame height using image processing techniques. This approach can be applied similarly to different models and to real world fire behaviour datasets, thus providing a new framework for model validation. Furthermore, obtained information is not limited to average values over the complete domain but spatially and temporally explicit metric distributions are provided. This feature supports posterior statistical analyses, ultimately contributing to more detailed and rigorous fire behaviour studies.Peer ReviewedPostprint (published version

Periostin increases migration and proliferation of human periodontal ligament fibroblasts challenged by tumor necrosis factor ‐α and Porphyromonas gingivalis lipopolysaccharides

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106894/1/jre12120.pd