Towards designing robust coupled networks

Natural and technological interdependent systems have been shown to be highly vulnerable due to cascading failures and an abrupt collapse of global connectivity under initial failure. Mitigating the risk by partial disconnection endangers their functionality. Here we propose a systematic strategy of selecting a minimum number of autonomous nodes that guarantee a smooth transition in robustness. Our method which is based on betweenness is tested on various examples including the famous 2003 electrical blackout of Italy. We show that, with this strategy, the necessary number of autonomous nodes can be reduced by a factor of five compared to a random choice. We also find that the transition to abrupt collapse follows tricritical scaling characterized by a set of exponents which is independent on the protection strategy

Fracturing ranked surfaces

Discretized landscapes can be mapped onto ranked surfaces, where every element (site or bond) has a unique rank associated with its corresponding relative height. By sequentially allocating these elements according to their ranks and systematically preventing the occupation of bridges, namely elements that, if occupied, would provide global connectivity, we disclose that bridges hide a new tricritical point at an occupation fraction $p=p_{c}$, where $p_{c}$ is the percolation threshold of random percolation. For any value of $p$ in the interval $p_{c}< p \leq 1$, our results show that the set of bridges has a fractal dimension $d_{BB} \approx 1.22$ in two dimensions. In the limit $p \rightarrow 1$, a self-similar fracture is revealed as a singly connected line that divides the system in two domains. We then unveil how several seemingly unrelated physical models tumble into the same universality class and also present results for higher dimensions

Studies on the interaction of the carbohydrate binding module 3 from the Clostridium thermocellum CipA scaffolding protein with cellulose and paper fibres

The adsorption of a carbohydrate binding module (CBM3) from the Clostridium thermocellum scaffolding protein (CipA) to cellulose was analysed in this work. The effect of CBM-PEG on the drainability of E. globulus and P. sylvestris pulps and on the physical properties of the respective papersheets was also studied. The CBM binding to cellulose is often described as “irreversible”, but this classification does not fully characterize this interaction. Indeed, the results obtained demonstrate that, although the adsorption on cellulose is rather stable, CBM inter-fibre mobility may be observed. The results also showed that the CBM-PEG conjugate improves the drainability of E. globulus and P. sylvestris pulps without affecting the physical properties of the papersheets.This research was supported by Fundacao para a Ciencia e a Tecnologia under grant POCTI/BIO/45356/2002

Relationship between length of exposure to trauma and mental illness in the police

Introduction: The activities of the police are considered high risk, because they are exposed to high levels of physical and emotional stress. These work activities can contribute to the emergence of psychiatric disorders that affect their readiness in responding to threats and safety of their actions. Our aim was to conduct a systematic literature review to identify studies that evaluated the time that police officers may be deployed without developing a mental illness. Materials and Methods: Articles published until May 2016 in The MEDLINE (PubMed), Cochrane Library, PsycINFO, and Lilacs databases were searched. In addition, a manual search in the gray literature (theses and dissertations) was also conducted. Several combinations of indexed terms were used in the search of electronic databases, including terms referring to trauma exposure, intervention, and population. There were no restrictions on date and language of the publications. Two reviewers independently assessed studies for eligibility and quality. Disagreements were resolved after consultations with a third reviewer. Results: Of 905 selected studies, 13 studies evaluated deployment duration and the incidence of mental illness. Studies were excluded because they addressed the prevalence of mental illness but did not relate it to deployment duration or because the studied sample was not the target population of the present study. Studies have shown that a longer deployment time is associated with increased incidence of mental illness. Our analysis of the 13 identified studies indicated the existence of an association between exposure to deployment and mental illness onset. Conclusion: These findings will be useful to inform and guide future studies conducted in Brazil and worldwide