Acquisition of suture skills during medical graduation by instructor-directed training: A randomized controlled study comparing senior medical students and faculty surgeons

Due to shortage of time and limited availability of faculty surgeons to teach basic surgical skills during medical graduation, the search for alternative ways of simulated training with feedback is needed. The purpose of this study was to compare the simulated teaching of suture skills to novice medical students by senior medical students and by experienced faculty surgeons. Forty-eight novice medical students were randomly assigned to three practice conditions on bench model (n = 16): self-directed suture training (control), senior medical student-directed suture skills' training, or experienced faculty surgeon-directed suture skills' training. Pre- and post-tests were applied. Global Rating Scale with blinded evaluation and self-perceived confidence based on Likert scale were used to assess all suture performances in pre- and post-training. Effect size was also calculated. The analysis made after training showed that the students who received feedback from the instructors had better performance based on the Global Rating Scale (all p < 0.0000) and felt more confident to carry out sutures (all p < 0.0000) when compared to the control. There was no significant difference (all p > 0.05) between the student-directed teaching and faculty-directed teaching groups. The magnitude of the effect (instructor-directed training suture) was considered large (>0.80) in all measurements. The acquisition of suture skills after student-directed training was similar to the training supervised by faculty surgeon, and the increase in suture performances of trainees that received instructor administered training was superior to self-directed learning. © 2013 Springer-Verlag Italia.

Da fábrica patronal à Cooperativa autogerida: processos educativos

Pós-graduação em Educação Escolar - FCLAR

O espaço da economia solidária: a autogestão na reprodução das relações sociais e os limites da emancipação social

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Body and Didactics. Possible directions of international research

The paper investigates the role of the body in didactics. It looks up for points of contact between the functional sceneries of the classroom and some recent approaches, such like simplexity, neurosciences and enactivism. The two experiments presented they aim to demonstrate the importance of body awareness to improve the didactic quality. The first experience used a SenseWear Armband that provided data about the energetic expenditure of a teacher during diff erent activities in a lesson. Th e second experiment relied on a neurofeedback device integrated to a sensor, it detected body temperature with the aim of understanding the role of the body in the process of self-regulation-learning and management of attention and arousal.

Economia solidária e tecnologias sociais: mediação para a emancipação social de grupos autogestionários

The goal of this paper is to critically analyze the practices developed by Solidarity Economy and to merge them with social technologies, aiming to achieve social transformation of popular groups. This transformation consists in the empowerment of those groups in means of work organization, considering their self-management and also the development of techniques and technologies utilized. Based on the understanding that technical development has no neutral character and it follows linearity within society, a discussion around the forms and uses of technology is conducted here, aiming at the perspective of changes in technologies’ development and also assigning social character to them. To think of social technology requires us to consider the space in which it is inserted, once it refers to a collective demand that belongs to self-managed groups. Therefore, to intent beyond self-management work, new productive forces are discussed here, and also the analysis and adhesion of an alternative technology for popular cooperatives

Círculo de cultura e economia solidária: uma investigação dessa aliança no cotidiano dos catadores da Coocassis

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices

A self-learning simulated annealing algorithm is developed by combining the characteristics of simulated annealing and domain elimination methods. The algorithm is validated by using a standard mathematical function and by optimizing the end region of a practical power transformer. The numerical results show that the CPU time required by the proposed method is about one third of that using conventional simulated annealing algorithm.

HOW FAR do WE GET USING MACHINE LEARNING BLACK-BOXES?

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Integrable NLS equation with time-dependent nonlinear coefficient and self-similar attractive BEC

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Educational robotics as a learning aid for disabled children

Severe disabled children have little chance of environmental and social exploration and discovery, and due this lack of interaction and independency, it may lead to an idea that they are unable to do anything by themselves. This idea is called learned helplessness and is very negative for the child cognitive development and social development as well. With this entire situation it is very likely that the self-steam and mood of this child. Trying to help these children on this situation, educational robotics can offer and aid, once it can give them a certain degree of independency in exploration of environment. The system developed in this work allows the child to transmit the commands to a robot. Sensors placed on the child's body can obtain information from head movement or muscle pulses to command the robot to carry the tasks. Also, this system can be used with a variety of robots, being necessary just a previous configuration. It is expected that, with the usage of this system, the disabled children have a better cognitive development and social interaction, balancing in a certain way, the negative effects of their disabilities. © 2011 IEEE.

Precipitates segmentation from scanning electron microscope images through machine learning techniques

The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable and efficient assessments on the materials. In this paper, we introduce four widely used supervised pattern recognition techniques to accomplish metallic precipitates segmentation in scanning electron microscope images from dissimilar welding on a Hastelloy C-276 alloy: Support Vector Machines, Optimum-Path Forest, Self Organizing Maps and a Bayesian classifier. Experimental results demonstrated that all classifiers achieved similar recognition rates with good results validated by an expert in metallographic image analysis. © 2011 Springer-Verlag Berlin Heidelberg.

Mensuração de estratégias de estudo e aprendizagem de alunos universitários: learning and study strategies inventory (lassi) adaptação e validação para o Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Preliminary diagnosis of ophtalmological diseases through machine learning techniques

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)