Global slowing of network oscillations in mouse neocortex by diazepam

SCHEFFZUK, C. , KUKUSHKA, V. , VYSSOTSKI, A. L. , DRAGUHN, A. , TORT, A. B. L. , BRANKACK, J. . Global slowing of network oscillations in mouse neocortex by diazepam. Neuropharmacology , v. 65, p. 123-133, 2013.

Evidências de validade do Millon Behavioral Medicine Diagnostic (MBMD) na avaliação psicológica de candidatos à cirurgia bariátrica

the Millon Behavioral Medicine Diagnostic is an instrument, developed from a consensus among health professionals, to identify psychological factors that may compromise the conducting of medical treatment in order to allow a better adhesion. As it has been one of the most used tools to assess bariatric surgery, the objective of this research is to verify the evidence validity of Millon Behavioral Medicine Diagnostic (MBMD) for psychological assessment of candidates for bariatric surgery. Method: males and females volunteers, aged 18 to 70, grouped in 150 patients admitted for surgical procedures or suffering from chronic diseases (control group) and 426 patients candidates for bariatric surgery, contacted in person or by the internet. For the study in the face group were also administered Millon Index of Personality Styles (MIPS), the Millon Clinical Multiaxial Inventory-III (MCMI-III) and the General Health Questionnaire of Goldberg, just in bariatric surgery patients. Results: there are indicators of semantic adaptation of the instrument, with 27 factors in five areas of the instrument, all with satisfactory levels of validity. The reliabitity indicators were satisfactory in 18 of the 32 scales that comprise the MBMD, while relations with the other three instruments showed significant variations compared to the original indicators. The MBMD was sensitive to differences between groups about gender, age, education, marital status, body mass index, comorbidities and chronic disease patients and with or without obesity. The use of this instrument in the assessment of candidates for bariatric surgery presents indicators of validity in view the limitations as to the realiability of certain scales

LWiSSy: uma linguagem específica de domínio para modelagem de sistemas de redes de sensores e atuadores sem fio

The field of Wireless Sensor and Actuator Networks (WSAN) is fast increasing and has attracted the interest of both the research community and the industry because of several factors, such as the applicability of such networks in different application domains (aviation, civil engineering, medicine, and others). Moreover, advances in wireless communication and the reduction of hardware components size also contributed for a fast spread of these networks. However, there are still several challenges and open issues that need to be tackled in order to achieve the full potential of WSAN usage. The development of WSAN systems is one of the most relevant of these challenges considering the number of variables involved in this process. Currently, a broad range of WSAN platforms and low level programming languages are available to build WSAN systems. Thus, developers need to deal with details of different sensor platforms and low-level programming abstractions of sensor operational systems on one hand, and they also need to have specific (high level) knowledge about the distinct application domains, on the other hand. Therefore, in order to decouple the handling of these two different levels of knowledge, making easier the development process of WSAN systems, we propose LWiSSy (Domain Language for Wireless Sensor and Actuator Networks Systems), a domain specific language (DSL) for WSAN. The use of DSLs raises the abstraction level during the programming of systems and modularizes the system building in several steps. Thus, LWiSSy allows the domain experts to directly contribute in the development of WSANs without having knowledge on low level sensor platforms, and network experts to program sensor nodes to meet application requirements without having specific knowledge on the application domain. Additionally, LWiSSy enables the system decomposition in different levels of abstraction according to structural and behavioral features and granularities (network, node group and single node level programming)