783 research outputs found
El marc jurídic : dret comparat
A partir d'una primera aproximació a les dades socioeconòmiques sobre la mediació als Estats Units, Austràlia, Nova Zelanda, Llatinoamèrica, Àsia i Europa, i després d'una anàlisi de les previsions normatives en matèria de mediació existents a l'actualitat, s'ha procedit a la identificació de certs principis i estàndards que han permès una delimitació progressiva del concepte de mediació desenvolupat en l'experiència estrangera dels diferents estats nacionals i dels organismes supranacionals i internacionals. Delimitat el concepte, l'estudi aborda una segona etapa, consistent en la comprensió del fenomen mediador en el context de les diverses cultures i tradicions jurídiques, així com en els diversos contextos socioeconòmics en els quals la mediació es desenvolupa principalment, tot identificant els àmbits d'aplicació materials i orgànics. Finalment, després d'una atenta identificació del concepte i descripció legal de la mediació existent a Espanya i Catalunya, el present estudi es conclou amb un exercici de contrast, a fi d'identificar els aspectes transversals i transnacionals que puguin resultar aplicables en una futura regulació de la mediació a Catalunya
Biomechanical Approach to Improve the Abdominal Aortic Aneurysm (AAA) Rupture Risk Prediction
BICOCCA, MAURICIO La persona humana y su formación en Antonio Millán-Puelles, EUNSA, Pamplona, 2011, 297 pp. [RESEÑA]
Multivariate side-band subtraction using probabilistic event weights
A common situation in experimental physics is to have a signal which can not
be separated from a non-interfering background through the use of any cut. In
this paper, we describe a procedure for determining, on an event-by-event
basis, a quality factor (-factor) that a given event originated from the
signal distribution. This procedure generalizes the "side-band" subtraction
method to higher dimensions without requiring the data to be divided into bins.
The -factors can then be used as event weights in subsequent analysis
procedures, allowing one to more directly access the true spectrum of the
signal.Comment: 17 pages, 9 figure
Situación de los págalos (Stercorarius sp.) en el litoral catalán (NE de la Península Ibérica)
Calculando el peso que los electores le ofrecen a los factores de decisión: Una propuesta metodológica
Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach
The existence of multiple subclasses of type Ia supernovae (SNeIa) has been
the subject of great debate in the last decade. One major challenge inevitably
met when trying to infer the existence of one or more subclasses is the time
consuming, and subjective, process of subclass definition. In this work, we
show how machine learning tools facilitate identification of subtypes of SNeIa
through the establishment of a hierarchical group structure in the continuous
space of spectral diversity formed by these objects. Using Deep Learning, we
were capable of performing such identification in a 4 dimensional feature space
(+1 for time evolution), while the standard Principal Component Analysis barely
achieves similar results using 15 principal components. This is evidence that
the progenitor system and the explosion mechanism can be described by a small
number of initial physical parameters. As a proof of concept, we show that our
results are in close agreement with a previously suggested classification
scheme and that our proposed method can grasp the main spectral features behind
the definition of such subtypes. This allows the confirmation of the velocity
of lines as a first order effect in the determination of SNIa subtypes,
followed by 91bg-like events. Given the expected data deluge in the forthcoming
years, our proposed approach is essential to allow a quick and statistically
coherent identification of SNeIa subtypes (and outliers). All tools used in
this work were made publicly available in the Python package Dimensionality
Reduction And Clustering for Unsupervised Learning in Astronomy (DRACULA) and
can be found within COINtoolbox (https://github.com/COINtoolbox/DRACULA).Comment: 16 pages, 12 figures, accepted for publication in MNRA
Enabling Network Slicing Across a Disaggregated Optical Transport Network
We propose and implement a network virtualization architecture for open optical (partially) disaggregated networks, based on a device hypervisor and OpenConfig and OpenROADM data models, in support of 5G network slicing over interconnected NFVI-PoPs
Una contribución a la teoría de la elección racional sobre los elementos de evaluación, percepción y voto
Porcine reproductive and respiratory syndrome prevalence and processing fluids use for diagnosis in United States breeding herds
Processing fluids have been recently adopted by the U.S. swine industry as a breeding herd PRRS monitoring tool due to their increased representativeness of animals within the herd. Here, we use the Morrison Swine Health Monitoring Project (MSHMP) database, representative of ~50% of the U.S. swine breeding herd, to describe processing fluids submissions for PRRS diagnosis and their relation to PRRS prevalence and time to stability over time between 2009 and 2020.info:eu-repo/semantics/publishedVersio
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