13,623 research outputs found
Migrations temporaires au Chaparé (Bolivie) et stratégies alimentaires
L'étude de l'économie familiale et du système alimentaire des paysans quechuas de la communauté d'altitude de Pampa Churigua, située dans la région des vallées interandines de Bolivie (Cochabamba), montre que la migration temporaire vers les zones de production de coca du Chaparé, dont les flux actuels demeurent importants malgré le contrôle du trafic de cocaïne depuis 1986, ne constitue pas seulement une alternative économique face à la détérioration des conditions de production agropastorale (parcellisation excessive des terres, sécheresse, politiques agricoles...). La migration vers les zones de production de coca est également une stratégie de diversification et d'extension spatiale des modes d'approvisionnement alimentaire, devenue essentielle pour la survie des familles paysannes. De plus, cet élargissement de l'espace paysan, basé sur une nouvelle complémentarité des différents étages écologiques, est une manière, pour le groupe social, de renouer avec un mode ancestral d'utilisation de l'espace proprement andin. (Résumé d'auteur
Tendencies in Mexican-Russian economical relationship
In this article the questions of transformation and strengthening of the Russian-Mexican cooperation at the present stage are considered. The main products for importation and exportation of Russia and Mexico are listed for the branches of industry, agriculture, science and education. The article describes the relationship between Russia and Mexico in tourism and how it can help to improve their economic growth and country development in the next periods. The directions of development of relations in the sphere of tourism are named
Twin Peaks: A possible signal in the production of resonances beyond special relativity
It is usually expected that quantum gravity corrections will modify somehow
the symmetries of special relativity. In this paper we point out that the
possibility of very low-energy (with respect to the Planck energy)
modifications to special relativity in the framework of a deformed relativistic
theory is not ruled out, and that, depending on the value of that scale, such a
possibility could be tested in accelerator physics. In particular, we take a
simple example of a relativistic kinematics beyond special relativity from the
literature, and obtain a remarkable effect: two correlated peaks ("twin peaks")
associated to a single resonance. We analyze this phenomenology in detail, use
LEP data to put constraints of the order of TeV on the scale of corrections to
special relativity, and note that such an effect might be observable in a
future very high-energy proton collider.Comment: 17 pages, accepted for publication in Symmetr
Enhancing Sensitivity Classification with Semantic Features using Word Embeddings
Government documents must be reviewed to identify any sensitive information
they may contain, before they can be released to the public. However,
traditional paper-based sensitivity review processes are not practical for reviewing
born-digital documents. Therefore, there is a timely need for automatic sensitivity
classification techniques, to assist the digital sensitivity review process.
However, sensitivity is typically a product of the relations between combinations
of terms, such as who said what about whom, therefore, automatic sensitivity
classification is a difficult task. Vector representations of terms, such as word
embeddings, have been shown to be effective at encoding latent term features
that preserve semantic relations between terms, which can also be beneficial to
sensitivity classification. In this work, we present a thorough evaluation of the
effectiveness of semantic word embedding features, along with term and grammatical
features, for sensitivity classification. On a test collection of government
documents containing real sensitivities, we show that extending text classification
with semantic features and additional term n-grams results in significant improvements
in classification effectiveness, correctly classifying 9.99% more sensitive
documents compared to the text classification baseline
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