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ECI París 2017 (París, 21 de julio del 2017)

Modesto Montoya

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Presenters (Deadline 15 jun 2017).

No presenters

Exposiciones confirmadas:

“Adding metabolomics to precision medicine”
Carlos Malpica Lizarzaburu
MLP Vision Biotech S.L., Spain

«La física de instrumentos pre-incas»
Víctor Coronel
City University of New York, United States

A personal knowledge base integrating user data and an activity timeline
David Montoya
INRIA / ENGIE, France

The path of quantum computers towards quantum supremacy
Enrique Solano
University of the Basque Country, Bilbao, Spain

Monte Carlo entropic sampling applied to Ising-like model for 2D Spin Crossover nanoparticles: re-entrance phase transition
Jorge LINARES
Université Paris-Saclay / Université de Versailles St. Quentin en Yvelines

Abstracts and CVs

“Adding metabolomics to precision medicine”
Carlos Malpica Lizarzaburu

MLP Vision Biotech S.L., Spain

Abstract
Precision medicine is an emerging approach for disease treatment and prevention that takes into account each person’s individual variability in genes, environment and lifestyle. Today, the ability of Metabolon’s technology to impact human health is more compelling than ever as the promise of precision medicine rapidly becomes a reality.
Metabolomics improves our understanding of health and the influences of diet, drug treatment, genes and lifestyle. While genomics often reveals only predisposition or risk of disease, Metabolon provides a snapshot of the current state of health and actionable information to advance clinical decision-making and research.

Carlos Malpica CV

«La física de instrumentos pre-incas»
Víctor Coronel

City University of New York, United States

EDUCACION


A personal knowledge base integrating user data and an activity timeline
David Montoya

INRIA / ENGIE, France

Abstract

Typical Internet users today have their data scattered over several devices, applications and services. Managing and controlling one’s data is increasingly difficult. In this thesis, we adopt the viewpoint that the user should be given the means to gather and integrate her data, under her full control. In that direction, we designed a system that integrates and enriches the data of a user from multiple heterogeneous sources of personal information into an RDF knowledge base. The system is open-source and implements a novel extensible framework that facilitates the integration of new data sources and the development of new modules for deriving knowledge. We first show how user activity can be inferred from mobile phone sensor data. We introduce a time-based clustering algorithm to extract stay points from location history data. Using data from additional mobile phone sensors, as well as geographic information from OpenStreetMap and public transportation schedules, we introduce a transportation mode recognition algorithm to derive the different modes and routes taken by the user when travelling. The algorithm derives the sequence of maximum probability in a conditional random field with a neural network layer. We also show how the system can integrate data from email, calendars, address books, social network services, and location history into a coherent whole. To do so, it uses entity resolution to find the set of avatars used by each real-world contact, and performs spatiotemporal alignment to connect each stay point with the event it corresponds to in the user’s calendar. Finally, we show that such a system can also be used for synchronization across different systems and devices and allow knowledge to be pushed to the sources. We present extensive experiments.

David Montoya CV

Publications

The path of quantum computers towards quantum supremacy
Enrique Solano

University of the Basque Country, Bilbao, Spain

Monte Carlo entropic sampling applied to Ising-like model for 2D Spin Crossover nanoparticles: re-entrance phase transition

Jorge LINARES
Université Paris-Saclay / Université de Versailles St. Quentin en Yvelines

We present first in a detailed way the Monte Carlo entropic sampling (MCES) for an Ising model and then we explain how to apply to an Ising-like model for 2D Spin crossover nano-particles in order to show the role of the edge molecules of the system with their local environment. We show that for this 2D spin crossover (SCO) systems, one of the origin of multi steps transition is the effect of the edge interaction molecules with its local environment together with short and long range interactions. By increasing the value of the edge interaction, L, the transition is shifted to the lower temperatures: it means that the role of edge interaction is equivalent to an applied negative pressure because the edge interaction favours the High-Spin (HS) state while the applied pressure favours the Low-Spin (LS) state. And finally we also analyse the role of the short- and long-range interaction, J respectively G, with respect to the environment interaction, L, and the origin of the re-entrance thermal hysteresis.
References:
1. J. Linares, C. Jureschi, K. Boukheddaden, » Surface effects leading to unusual size dependence of the thermal hysteresis behavior in spin-crossover nanoparticles», Magnetochemistry, 2016 2,24
2. D. Chiruta, J. Linares, P. Dahoo, M. Dimian, «Analysis of long-range interaction effects on phase transitions in two-step spin crossover chains by using Ising type systems and Monte Carlo entropic sampling technique”, Journal of Applied Physics, 12, 074906 (2012).
3. I. Shteto, J. Linares, F. Varret, « Monte Carlo entropic sampling for the study of metastable states and relaxation paths », Physical Review E 56 (1997) 5128-5137

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