17 research outputs found
SIS 2017. Statistics and Data Science: new challenges, new generations
The 2017 SIS Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of ‘meaning’ extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of ‘Big data’, open data, relational and complex data, structured and no-structured. The interest is to collect the contributes which provide from the different domains of Statistics, in the high dimensional data quality validation, sampling extraction, dimensional reduction, pattern selection, data modelling, testing hypotheses and confirming conclusions drawn from the data
Community and Family-Focused Public Health and Sustainable Development
The book “Community and Family-Focused Public Health and Sustainable Development” was originally published in the renowned International Journal of Environmental Research and Public Health. This Special Issue encompassed novel aspects of applications that are connected with sustainability issues in community and family-focused public health studies. Contributions have a significant impact on solving public health problems at the family and community levels. The Special Issue originally published scientific papers, including review articles, that fell under this Special Issue’s remit and that were relevant to audiences worldwide. Currently, the term “family health” is most commonly to describe mother and child health and reproductive health. It is rare for family health to include the family as an important context for health development and that includes all family members and the family’s social environment. Authors of scientific research covering issues related to the impact of the family and the environment in which the family lives and functions on its members’ health in the present and in the future were encouraged to contribute their work. In addition, we were especially interested in scientific reports on social, economic, and health inequalities in the context of achieving the sustainable development goals
The Structure and Properties of Weakly Bound Clusters
In this thesis, two novel methods are introduced to advance the study of gas phase clusters. The structure
similarity method is a computational technique that is able to quantify the structure difference for a pair
of isomers, with a structure interpolation technique capable of finding intermediates in-between the
isomer pair. A new experimental method, which couples differential mobility spectrometry with
ultraviolet photodissociation spectroscopy (DMS-UVPD), is also developed and tested. Three test cases
are discussed herein. These test cases showcase new theoretical techniques for mapping and visualizing
potential energy surface (PES) and finding transition state (TS) structures, as well as experimental
techniques of measuring UVPD spectra of DMS-MS isolated ion populations. Introduce of structure
similarity, a technique developed for unsupervised machine learning (ML), enables effective domain
of mapping PESs, which may subsequently be used to interpret experimental observations for systems
of high geometric complexity. The experimental DMS-UVPD technique is shown capable of isolating
ion species such that UVPD spectra may be recorded for characterization of analytes of interest. For
the test cases described herein, these new methods provide meaningful (sometimes anti-intuitive)
directions for future work.
For the structure similarity method, its PES mapping capability is tested in Chapter 3 with a collection
of protonated serine dimer cations, [Ser2 + H]+ to rationalize its infrared multiphoton dissociation
(IRMPD) spectrum. Eventually, the spectral carrier is assigned to a non-global minimum (GM) isomer
based on the partitioning information of the PES and spectral similarity. In Chapter 4, the
accompanying structural interpolation method is employed to find TSs that can rationalize a
regioselective alkylation reaction between a barbituric acid derivative and an alkyl-tricarbastannatrane
complex. By combining the interpolation method together with chemical intuition, a total of 3 reaction
channels are found, and the regioselectivity of the alkylation is identified as a kinetic effect. In Chapter
5, an acylhydrazone (AY) derivative, a photoswitch candidate, is examined using the DMS-UVPD
technique. Experimentally, the protonated [AY + H]+ cation is injected into the instrument for DMS
separation and laser interrogation, while theoretically, a number of neutral and protonated isomers are
sampled. Eventually, separation of the ion population is observed and attributed to some ion-solvent
cluster. Four isomers are found from theoretical calculation that may account for the UVPD spectr
Manipulador aéreo con brazos antropomórficos de articulaciones flexibles
[Resumen] Este artículo presenta el primer robot manipulador aéreo con dos brazos antropomórficos diseñado para aplicarse en tareas de inspección y mantenimiento en entornos industriales de difícil acceso para operarios humanos. El robot consiste en una plataforma aérea multirrotor equipada con dos brazos antropomórficos ultraligeros, así como el sistema de control integrado de la plataforma y los brazos. Una de las principales características del manipulador es la flexibilidad mecánica proporcionada en todas las articulaciones, lo que aumenta la seguridad en las interacciones físicas con el entorno y la protección del propio robot. Para ello se ha introducido un compacto y simple mecanismo de transmisión por muelle entre el eje del servo y el enlace de salida. La estructura en aluminio de los brazos ha sido cuidadosamente diseñada de forma que los actuadores estén aislados frente a cargas radiales y axiales que los puedan dañar. El manipulador desarrollado ha sido validado a través de experimentos en base fija y en pruebas de vuelo en exteriores.Ministerio de Economía y Competitividad; DPI2014-5983-C2-1-
Task Allocation in Foraging Robot Swarms:The Role of Information Sharing
Autonomous task allocation is a desirable feature of robot swarms that collect and deliver items in scenarios where congestion, caused by accumulated items or robots, can temporarily interfere with swarm behaviour. In such settings, self-regulation of workforce can prevent unnecessary energy consumption. We explore two types of self-regulation: non-social, where robots become idle upon experiencing congestion, and social, where robots broadcast information about congestion to their team mates in order to socially inhibit foraging. We show that while both types of self-regulation can lead to improved energy efficiency and increase the amount of resource collected, the speed with which information about congestion flows through a swarm affects the scalability of these algorithms