1,605 research outputs found
La ciudad de los Ángeles a través de dos Thrillers de Michael Mann: Heat y Collateral
I Congreso Internacional de Historia y Cine: 5, 6, 7 y 8 de Septiembre de 2007
Banco Santander y segmento joven: estrategia de Blended Marketing y percepción del cliente
El objetivo de mi trabajo es realizar un estudio en profundidad de la estrategia de banca joven que lleva a cabo la Entidad. Todo ello enfocado al área de marketing del segmento joven, esto es, cómo el Banco diseña un conjunto de acciones para conseguir los objetivos definidos en su plan de marketing y centrados en el colectivo de clientes de 18 a 31 años, ambos incluidos. La última parte de la investigación se centra en averiguar la opinión que tienen los estudiantes universitarios de Soria, colectivo que forma parte del target del Banco Santander, acerca de la entidad.Grado en Administración y Dirección de Empresa
Design of Machine Learning Models for the Prediction of Transcription Factor Binding Regions in Bacterial DNA
Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.[Abstract] Transcription Factors (TFs) are proteins that regulate the expression of genes by binding to their promoter regions. There is great interest in understanding in which regions TFs will bind to the DNA sequence of an organism and the possible genetic implications that this entails. Occasionally, the sequence patterns (motifs) that a TF binds are not well defined. In this work, machine learning (ML) models were applied to TF binding data from ChIP-seq experiments. The objective was to detect patterns in TF binding regions that involved structural (DNAShapeR) and compositional (kmers) characteristics of the DNA sequence. After the application of random forest and Glmnet ML techniques with both internal and external validation, it was observed that two types of generated descriptors (HelT and tetramers) were significantly better than the others in terms of prediction, achieving values of more than 90%.This work has received financial support from the Xunta de Galicia and the European Union (European Social Fund (ESF)).
This project was also supported by the General Directorate of Culture, Education and University Management of Xunta de Galicia (Ref. ED431G/01, ED431D 2017/16).Xunta de Galicia; ED431G/01Xunta de Galicia; ED431D 2017/1
A fuzzy rule model for high level musical features on automated composition systems
Algorithmic composition systems are now well-understood. However, when they are used for specific tasks like creating material for a part of a piece, it is common to prefer, from all of its possible outputs, those exhibiting specific properties. Even though the number of valid outputs is huge, many times the selection is performed manually, either using expertise in the algorithmic model, by means of sampling techniques, or some times even by chance. Automations of this process have been done traditionally by using machine learning techniques. However, whether or not these techniques are really capable of capturing the human rationality, through which the selection is done, to a great degree remains as an open question. The present work discusses a possible approach, that combines expert’s opinion and a fuzzy methodology for rule extraction, to model high level features. An early implementation able to explore the universe of outputs of a particular algorithm by means of the extracted rules is discussed. The rules search for objects similar to those having a desired and pre-identified feature. In this sense, the model can be seen as a finder of objects with specific properties.Peer ReviewedPostprint (author's final draft
Spherical solutions of the Schr\"odinger-Poisson system with core-tail structure
We construct spherically symmetric equilibrium solutions of the
Schr\"odinger-Poisson (SP) system of equations with a core-tail structure that
could serve as models of Fuzzy Dark Matter (FDM) halos. The core is assumed to
be a solitonic ground state equilibrium configuration of the SP equations, and
the tail is integrated from a transition radius onwards. The total mass of the
system parametrizes the family of solutions and constrains the tail density
profile. The tail has a radial velocity profile, whereas the core is
stationary. We investigate the evolution of these equilibrium configurations
and find that the tail initially perturbs the core, and consequently, the whole
solution oscillates around a virialized solution that we call 'relaxed', whose
average also has a core-tail structure. We measure the departure of the relaxed
configuration from the equilibrium solution in order to estimate the utility of
the latter. We also find that the core-halo scaling relation of equilibrium
configurations has an exponent , whereas relaxed configurations
exhibit a scaling with .Comment: 10 pages, 10 figures. Accepted for publication in Phys. Rev.
Stationary solutions of the Schr\"odinger-Poisson-Euler system and their stability
We present the construction of stationary boson-fermion spherically symmetric
configurations governed by Newtonian gravity. Bosons are described in the
Gross-Pitaevskii regime and fermions are assumed to obey Euler equations for an
inviscid fluid with polytropic equation of state. The two components are
coupled through the gravitational potential. The families of solutions are
parametrized by the central value of the wave function describing the bosons
and the central denisty of the fluid. We explore the stability of the solutions
using numerical evolutions that solve the time dependent
Schr\"odinger-Euler-Poisson system, using the truncation error of the numerical
methods as the perturbation. We find that all configurations are stable as long
as the polytropic equation of state (EoS) is enforced during the evolution.
When the configurations are evolved using the ideal gas EoS they all are
unstable that decay into a sort of twin solutions that approach a nearly
stationary configuration. We expect these solutions and their evolution serve
to test numerical codes that are currently being used in the study of Fuzzy
Dark Matter plus baryons.Comment: 7 pages, accepted in Phys. Lett.
Centroid-Based Clustering with ab-Divergences
Centroid-based clustering is a widely used technique within unsupervised learning
algorithms in many research fields. The success of any centroid-based clustering relies on the
choice of the similarity measure under use. In recent years, most studies focused on including several
divergence measures in the traditional hard k-means algorithm. In this article, we consider the
problem of centroid-based clustering using the family of ab-divergences, which is governed by two
parameters, a and b. We propose a new iterative algorithm, ab-k-means, giving closed-form solutions
for the computation of the sided centroids. The algorithm can be fine-tuned by means of this pair of
values, yielding a wide range of the most frequently used divergences. Moreover, it is guaranteed to
converge to local minima for a wide range of values of the pair (a, b). Our theoretical contribution
has been validated by several experiments performed with synthetic and real data and exploring the
(a, b) plane. The numerical results obtained confirm the quality of the algorithm and its suitability to
be used in several practical applications.MINECO TEC2017-82807-
El reto de las nuevas realidades familiares
La familia en España ha experimentado en las últimas décadas una profunda y compleja transformación en muy diversos planos, transformación que, más allá de lecturas catastrofistas, conduce inevitablemente al replanteamiento, desde la óptica de diversas disciplinas, de algunos de los parámetros básicos que definen tanto de la propia realidad familiar como las relaciones entre ésta y la sociedad. En el artículo se revisan y analizan estos cambios y transformaciones, prestando especial atención a sus implicaciones cara a la intervención social.The family in Spain has experimented a big shift in the last decades. These transformations lead to the consideration from
a multidisciplinar perspective of its characteristics and the group of phenomenon that describes its internal relationships
as well as its vinculation with society. In this text we explore and analyze all these changes, paying special attention to
their implications associated to social interventio
- …