Energy, industrial development, air and atmospheric pollution and climate change in Latin America and the Caribbean: new policies, lessons, best practices and opportunities for horizontal cooperation

Includes bibliography

Cooperation on competition policy in Latin American and Caribbean bilateral trade agreements

Incluye Bibliografía

Cooperation partnerships in manufacturing: evidence from Chile

Includes bibliography

Innovation and cooperation: evidence from the Brazilian innovation survey

Includes bibliography

Cooperation for innovation in the manufacturing industry in Mexico

Includes bibliography

Innovation and cooperation in Latin America: evidence from national innovations surveys in a comparative perspective

Includes bibliography

Brazil and India: two BRICs as a building bloc for South-South cooperation""

Includes Bibliography

Latin American South-South integration and cooperation: from a regional public goods perspective

Includes bibliography

Regional integration in Latin America and dynamic gains from macroeconomic cooperation

Includes bibliography

Electromyographic validation of the muscles deltoid (anterior portion) and pectoralis major (clavicular portion) in military press exercises with middle grip

With the objective to know the electromyographic activity normal parameters of the deltoid (anterior portion) and pectoralis major (clavicular portion) muscles in the different modalities of military press exercises with middle grip, we analyzed 24 male volunteers using a two-channel electromyograph TECA TE 4, and Hewllet Packard surface electrodes. It was observed high inactivity levels for PMC in almost all the modalities and the concentration in the active cases, mainly, in the weak potential, while DA presented very high levels of much strong action potentials in all the modalities assessed.

Electromyographic validation of the deltoid (anterior portion) and pectoralis major (clavicular portion) in military press exercises with open and middle grips

The deltoid (anterior portion) and pectoralis major (clavicular portion) were evaluated in several execution ways of military press exercises with open and middle grips in order to know their behavior pattern. It was analyzed 24 male volunteers, using a 2-channel TECA TE4 electromyograph and Hewllet Packard surface electrodes. It was observed that the execution variation with open and middle grips does not present any significant difference as for the demanding level neither for the pectoralis major muscle nor the deltoid muscle.

Coordination, cooperation and control within decentralized fiscal systems

Includes bibliography

Asymmetries and cooperation in the Free Trade Area of the Americas

Includes bibliography

Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning

Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate wrong labels to a large portion or even the entire data set. This paper aims to address this problem by presenting a graph-based (network-based) semi-supervised learning method, specifically designed to handle data sets with mislabeled samples. The method uses teams of walking particles, with competitive and cooperative behavior, for label propagation in the network constructed from the input data set. The proposed model is nature-inspired and it incorporates some features to make it robust to a considerable amount of mislabeled data items. Computer simulations show the performance of the method in the presence of different percentage of mislabeled data, in networks of different sizes and average node degree. Importantly, these simulations reveals the existence of the critical points of the mislabeled subset size, below which the network is free of wrong label contamination, but above which the mislabeled samples start to propagate their labels to the rest of the network. Moreover, numerical comparisons have been made among the proposed method and other representative graph-based semi-supervised learning methods using both artificial and real-world data sets. Interestingly, the proposed method has increasing better performance than the others as the percentage of mislabeled samples is getting larger. © 2012 IEEE.

Military expenditure and development in Latin America

Includes bibliography