4,094 research outputs found
Understanding low energy reaction with exotic nuclei
Recent developments on the understanding of low energy reactions are
highlighted. Emphasis is given to the CDCC framework where the breakup channels
of the projectile are included explicitly. Properties of the breakup couplings
are presented. Comments are given with regard to the separation between the
nuclear and the Coulomb contributions to breakup cross sections as well as the
dependence on the optical potentials. A discussion on the sensitivity of the
CDCC basis is discussed, by comparing pure breakup results with transfer to the
continuum calculations. Finally, some remaining controversies show the need to
go beyond the single particle picture for the projectile.Comment: Proceedings from 'Nuclei at the limits', ANL 26-30 July 2004, 6 pages
and 8 figure
Risk management in solitary agricultural work: new technologies for handling emergency and falls from great heights (SHADE)
Solitary work and agricultural activities are the scenarios of a large number of severe injuries and deaths, also because first aid may be difficult to achieve in isolated locations. This work proposes a technology available on smartphones that allows triggering an emergency call when a fall from height or an unconsciousness state is detected. The results of several tests, which include different detection algorithms and scenarios, are reported in this work. Tests performed with the aid of a dummy have allowed developing a reliable algorithm for the detection of dangerous situations. This system is available as an Android application
Proper Motions of Young Stellar Outflows in the Mid-Infrared with Spitzer. II. HH 377/Cep E
We have used multiple mid-infrared observations at 4.5 micron obtained with
the Infrared Array Camera, of the compact (~1.4 arcmin) young stellar bipolar
outflow Cep E to measure the proper motion of its brightest condensations. The
images span a period of ~6 yr and have been reprocessed to achieve a higher
angular resolution (~0.8 arcsec) than their normal beam (2 arcsec).
We found that for a distance of 730 pc, the tangential velocities of the
North and South outflow lobes are 62+/-29 and 94+/-6 km/s respectively, and
moving away from the central source roughly along the major axis of the flow. A
simple 3D hydrodynamical simulation of the H2 gas in a precessing outflow
supports this idea. Observations and model confirm that the molecular Hydrogen
gas, traced by the pure rotational transitions, moves at highly supersonic
velocities without being dissociated. This suggests either a very efficient
mechanism to reform H2 molecules along these shocks or the presence of some
other mechanism (e.g. strong magnetic field) that shields the H2 gas.Comment: Accepted for publication in New Journal of Physics (Special Issue
article
Moment distributiuons of clusters and molecules in the adiabatic rotor model
We present a Fortran program to compute the distribution of dipole moments of
free particles for use in analyzing molecular beams experiments that measure
moments by deflection in an inhomogeneous field. The theory is the same for
magnetic and electric dipole moments, and is based on a thermal ensemble of
classical particles that are free to rotate and that have moment vectors
aligned along a principal axis of rotation. The theory has two parameters, the
ratio of the magnetic (or electric) dipole energy to the thermal energy, and
the ratio of moments of inertia of the rotor.Comment: 3 pages with 2 figure
Spreading of thin films assisted by thermal fluctuations
We study the spreading of viscous drops on a solid substrate, taking into
account the effects of thermal fluctuations in the fluid momentum. A nonlinear
stochastic lubrication equation is derived, and studied using numerical
simulations and scaling analysis. We show that asymptotically spreading drops
admit self-similar shapes, whose average radii can increase at rates much
faster than these predicted by Tanner's law. We discuss the physical
realizability of our results for thin molecular and complex fluid films, and
predict that such phenomenon can in principal be observed in various flow
geometries.Comment: 5 pages, 3 figure
Scaling laws of strategic behaviour and size heterogeneity in agent dynamics
The dynamics of many socioeconomic systems is determined by the decision
making process of agents. The decision process depends on agent's
characteristics, such as preferences, risk aversion, behavioral biases, etc..
In addition, in some systems the size of agents can be highly heterogeneous
leading to very different impacts of agents on the system dynamics. The large
size of some agents poses challenging problems to agents who want to control
their impact, either by forcing the system in a given direction or by hiding
their intentionality. Here we consider the financial market as a model system,
and we study empirically how agents strategically adjust the properties of
large orders in order to meet their preference and minimize their impact. We
quantify this strategic behavior by detecting scaling relations of allometric
nature between the variables characterizing the trading activity of different
institutions. We observe power law distributions in the investment time
horizon, in the number of transactions needed to execute a large order and in
the traded value exchanged by large institutions and we show that heterogeneity
of agents is a key ingredient for the emergence of some aggregate properties
characterizing this complex system.Comment: 6 pages, 3 figure
Factors influencing charter flight departure delay
This study aims to identify the main factors leading to charter flight departure delay through data mining. The data sample analysed consists of 5,484 flights operated by a European airline between 2014 and 2017. The tuned dataset of 33 features was used for modelling departure delay (e.g., if the flight delayed more than 15 minutes). The results proved the value of the proposed approach by an area under the receiver operating characteristic curve of 0.831 and supported knowledge extraction through the data-based sensitivity analysis. The features related to previous flight delay information were considered as being the most influential toward current flight being delayed or not, which is consistent with the propagating effect of flight delays. However, it is not the reason for the previous delay nor the delay duration that accounted for the most relevance. Instead, a computed feature indicating if there were two or more registered reasons accounted for 33% of relevance. The contributions include also using a broader data mining approach supported by an extensive data understanding and preparation stage using both proprietary and open access data sources to build a comprehensive dataset.info:eu-repo/semantics/acceptedVersio
Multi-language transfer learning for low-resource legal case summarization
Analyzing and evaluating legal case reports are labor-intensive tasks for judges and lawyers, who usually base their decisions on report abstracts, legal principles, and commonsense reasoning. Thus, summarizing legal documents is time-consuming and requires excellent human expertise. Moreover, public legal corpora of specific languages are almost unavailable. This paper proposes a transfer learning approach with extractive and abstractive techniques to cope with the lack of labeled legal summarization datasets, namely a low-resource scenario. In particular, we conducted extensive multi- and cross-language experiments. The proposed work outperforms the state-of-the-art results of extractive summarization on the Australian Legal Case Reports dataset and sets a new baseline for abstractive summarization. Finally, syntactic and semantic metrics assessments have been carried out to evaluate the accuracy and the factual consistency of the machine-generated legal summaries
Recensioni a Carl Stumpf
S. Bonacchi - G.-J. Boudewijnse (Eds.), \uabGestalt Theory\ubb (numero monografico dedicato a C. Stumpf), vol. 31 (2009); C. Stumpf, La rinascita della filosofia. Saggi e conferenze, a cura di R. Martinelli, Macerata 200
- …