On non representable preferences

In this note, we prove that for every non-separable metric space there is a continuous preference ordering which is non respresentable by an utility function

On non representable preferences.

In this note, we prove that for every non-separable metric space there is a continuous preference ordering which is non respresentable by an utility function.Preference Ordening; Utility Function; Non Separable Metric Space;

Synthesis of Enantiopure Methyl (1S,2S,3R,4S,5R)-2-Amino-3,4,5-trihydroxycyclopentanecarboxylate

The 12th International Electronic Conference on Synthetic Organic Chemistry session General Organic SynthesisThe first total synthesis of enantiopure methyl (1S,2S,3R,4S,5R)-2-amino-3,4,5-trihydroxycyclopentanecarboxylate was carried out according to our recent novel strategy for the transformation of nitrohexofuranoses into cyclopentylamines, which is based on an intramolecular cyclization leading to 2-oxabicyclo[2.2.1]heptane derivatives. Differences in reactivity for this key step were rationallized by using molecular mechanism based calculation

Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection

We introduce Deep-HiTS, a rotation invariant convolutional neural network (CNN) model for classifying images of transients candidates into artifacts or real sources for the High cadence Transient Survey (HiTS). CNNs have the advantage of learning the features automatically from the data while achieving high performance. We compare our CNN model against a feature engineering approach using random forests (RF). We show that our CNN significantly outperforms the RF model reducing the error by almost half. Furthermore, for a fixed number of approximately 2,000 allowed false transient candidates per night we are able to reduce the miss-classified real transients by approximately 1/5. To the best of our knowledge, this is the first time CNNs have been used to detect astronomical transient events. Our approach will be very useful when processing images from next generation instruments such as the Large Synoptic Survey Telescope (LSST). We have made all our code and data available to the community for the sake of allowing further developments and comparisons at https://github.com/guille-c/Deep-HiTS

Sonogashira versus Stephens-Castro Mediated Synthesis of o-Phenylethynylbenzoic Acids, Convenient Precursors of 3-Phenylisocoumarins

The 12th International Electronic Conference on Synthetic Organic Chemistry session General Organic SynthesisWe describe herein two synthetic approaches to 3-phenyl-5-nitro-isocoumarines, both based on a nitro-facilitated cyclization of o-phenylethynylbenzoic acids obtained by Sonogashira or Stephens-Castro mediated coupling of o-yodobenzoic acids and phenylacetilene

Implementar una alternativa de preparación masiva para facilitar la formación en el área informática con un curso MOOC.

Implementar una alternativa de preparación masiva, para facilitar la formación en el área informática a través del curso MOOC.El presente proyecto consiste en la creación de un Curso MOOC como un nuevo método de educación a los métodos actuales de pedagogía que existen en la Universidad, se constituye en el punto de partida a futuros cursos de desarrollos MOOC que se planifica en lo posteriores años. El proyecto en sí está desarrollado en varios capítulos. En el capítulo uno, se define todo sobre la realización del presente proyecto y la metodología a utilizar en la creación de contenido E ¿ Learning En el capítulo dos, están definidos conceptos y argumentaciones fundamentales del proyecto con sus respectivas descripciones bibliográficas En el capítulo tres, encontramos el estudio de las plataformas de creación de cursos MOOC, encontrando también, un estudio comparativo de las 4 plataformas seleccionadas para el efecto. El capítulo cuatro, detalla todo sobre el desarrollo del curso en general y los aspectos relevantes de desarrollo del proyecto, encontrando también la utilización de la metodología de creación de contenido E - Learning. En el capítulo cinco, podemos encontrar un pequeño análisis del curso o proyecto, direccionando más las conclusiones y recomendaciones, que se da en base al trabajo elaborado.Ingenierí

Modelos de regresión non lineais con erros nos regresores: unha aplicación á xestión de recursos pesqueiros

Analízase o xeito no que se estiman modelos de regresión non lineais que se utilizan na xestión de recursos pesqueiros. O obxectivo é demostrar as consecuencias de descoidar a posibilidade de que os regresores deses modelos, poidan estar medidas con erros aditivos

Synthesis of Tetrahydroxyazepanes from Shikimic Acid

The 13th International Electronic Conference on Synthetic Organic Chemistry session General Organic SynthesisWe describe herein a novel synthetical application of shikimic acid, which consist of its transformation into (3R,4S,5R,7S)-7-(hydroxymethyl)azepane-3,4,5-triolWe thank the Spanish Ministry Science and Innovation and the Xunta de Galicia for financial suppor

Preliminary Studies on the Synthesis of Rancinamycins from Nitrosugars

The 9th International Electronic Conference on Synthetic Organic Chemistry session General Organic SynthesisWe thank the Spanish Ministry Education and Science for financial support and for a grant José M. Oter

A study on machine vision techniques for the inspection of health personnels' protective suits for the treatment of patients in extreme isolation

The examination of Personal Protective Equipment (PPE) to assure the complete integrity of health personnel in contact with infected patients is one of the most necessary tasks when treating patients affected by infectious diseases, such as Ebola. This work focuses on the study of machine vision techniques for the detection of possible defects on the PPE that could arise after contact with the aforementioned pathological patients. A preliminary study on the use of image classification algorithms to identify blood stains on PPE subsequent to the treatment of the infected patient is presented. To produce training data for these algorithms, a synthetic dataset was generated from a simulated model of a PPE suit with blood stains. Furthermore, the study proceeded with the utilization of images of the PPE with a physical emulation of blood stains, taken by a real prototype. The dataset reveals a great imbalance between positive and negative samples; therefore, all the selected classification algorithms are able to manage this kind of data. Classifiers range from Logistic Regression and Support Vector Machines, to bagging and boosting techniques such as Random Forest, Adaptive Boosting, Gradient Boosting and eXtreme Gradient Boosting. All these algorithms were evaluated on accuracy, precision, recall and F1 score; and additionally, execution times were considered. The obtained results report promising outcomes of all the classifiers, and, in particular Logistic Regression resulted to be the most suitable classification algorithm in terms of F1 score and execution time, considering both datasets.The research leading to these results received funding from: Inspección robotizada de los trajes de proteccion del personal sanitario de pacientes en aislamiento de alto nivel, incluido el ébola, Programa Explora Ciencia, Ministerio de Ciencia, Innovación y Universidades (DPI2015-72015-EXP); the RoboCity2030-DIH-CM Madrid Robotics Digital Innovation Hub (“Robótica aplicada a la mejora de la calidad de vida de los ciudadanos. fase IV”; S2018/NMT-4331), funded by “Programas de Actividades I+D en la Comunidad de Madrid” and cofunded by Structural Funds of the EU; and ROBOESPAS: Active rehabilitation of patients with upper limb spasticity using collaborative robots, Ministerio de Economía, Industria y Competitividad, Programa Estatal de I+D+i Orientada a los Retos de la Sociedad (DPI2017-87562-C2-1-R)