Abstract
In social network analysis the identification of communities and the discovery of brokers is a very important issue. Community detection typically uses partition techniques. In this work the information extracted from social networking goes beyond cohesive groups, enabling the discovery of brokers that interact between communities. The partition is found using a set covering formulation, which allows the identification of actors that link two or more dense groups. Our algorithm returns the needed information to create a good visualization of large networks, using a condensed graph with the identification of the brokers.

Abstract
Regular and non-regular production can often be found in multipurpose batch plants, requiring two distinct operating strategies: campaign and short-term production. This paper proposes a solution approach for simultaneous scheduling of campaign and short-term products in multipurpose batch plants. Regular products follow a cyclic schedule and must cover several product deliveries during the scheduling horizon, while non-regular products have a non-cyclic schedule. The proposed approach explores the Resource-Task Network (RTN) discrete-time formulation. Moreover, a rolling horizon approach, and reformulation and branching strategies have been applied to deal with the computational complexity of the scheduling problem. Real case instances of a chemical-pharmaceutical industry are solved, showing the applicability of the solution approach.

Abstract

Abstract

Abstract
The pressure measured in the intervertebral discs is a response to the loads acting on the spine. External loads, such as the reaction forces resulting from locomotion, manual handling and collisions are probably the most relevant in studying spine trauma. However, the physiological functions such as breathing and hearth rate also participate in subtle variations of intradiscal pressure that can be observed only in vivo at resting. Present work is an effort to measure the effect of breathing on intradiscal pressure of an anesthetized sheep.

Abstract
The literature on the National Systems of Innovation (NSI) is a relatively new field of research that has spread remarkably in the past 20 years. This article offers a complementary, quantitative description of the state-of-the-art of the literature based on bibliometric methods, by explicitly addressing the roots, evolution and influence of NSI literature. The exercise shows that over time the rate of published articles was quite irregular and that contributions on NSI have not (yet) converged to an integrated analytical framework. Although historically detailed descriptions on NSI showed a noticeable increase in the more recent period (20062010) analyses using more formal and diversified quantitative methodologies for assessing the performance of NSI remained lacking, reflecting its persisting methodological weaknesses. The roots of the NSI literature can be found at the core of innovation studies by certain well-known scholars in the area of economics of innovation and science policy research. Even though publications on NSI are falling in relative importance and are highly concentrated on a small set of countries (United Kingdom, Denmark, and the United States), their influence is global. They are cited by authors affiliated in organisations around the world, notably in Latin America and Asia. Such an influence goes far beyond the area of innovation studies and has resonated in fields such as economic geography, environmental studies, international business and managerial sciences. This demonstrates that the NSI literature is not self-referential.