2019
Authors
Fontes, H;
Publication
Abstract
2019
Authors
Rodrigues, C; Correia, M; Abrantes, JMCS; Benedetti Rodrigues, MAB; Nadal, J;
Publication
2019 6TH IEEE PORTUGUESE MEETING IN BIOENGINEERING (ENBENG)
Abstract
This study assesses in vivo and noninvasive human lower limb dynamic stiffness at different muscle stretch-shortening cycle (SSC) on maximum vertical jump (MVJ) with long, short and without countermovement. A small sample of n=6 healthy young adult male students of sports and physical education degree without past injuries, specific training or sports record were assessed after informed consent according to the world medical association declaration of Helsinki. Subjects were weighted (76.7 +/- 9.3) kg and their height measured (178.9 +/- 6.3) cm performing each three trials of MVJ namely squat jump (SJ), countermovement jump (CMJ) and drop jump (DJ) from a step with 40 cm height. Ground reaction forces (GRF) were acquired during impulse phase with AMTI force plate BP2416-4000 CE and Mini Amp MAS-6 amplifier at 1000 Hz. Vertical acceleration (a(z)) of whole body center of gravity (BCG) obtained from resultant vertical ground reaction force (RFz) was time integrated twice for calculation of vertical displacement (Delta z) of BCG and dynamic stiffness obtained from slopes at different segmented subphases of RFz mass normalized RFz/m vs Delta z plot during impulse phase. Results of vertical dynamic stiffness during impulse phase point for inter-subject similarities at each type of MVJ and statistical significative differences (p<0.05) between SJ, CMJ and DJ with impact on MVJ optimization.
2019
Authors
Ottoni, IC; de Oliveira, BMPM; Bandoni, DH;
Publication
MUNDO DA SAUDE
Abstract
The National School Feeding Program - NSFP is the public health policy that guarantees the minimum supply of healthy food and offers space for the construction of healthy eating habits in Brazilian schools. The objective of the present study was to evaluate the presence of Food and Nutrition Education (FNE) actions within the framework of the NSFP to verify its adequacy toward the program's legislation and to investigate which parameters are predictors of running school gardens. This was a cross-sectional observational study using secondary data obtained from the database of the Efficient School Lunch Management Award for the year 2010, with a sample of 749 municipalities in Brazil. A binary logistic regression was performed, considering the running of school gardens as a dependent variable, and the FNE indicators and the demographic variables as independent. The model containing the presence of FNE in the school curriculum was significant (p<0.001). The presence of FNE in school curricula OR=2.406;95%CI=[1.725, 3.357] was the most significant predictor of running school gardens, followed by the use of food from family farms OR=2.049;95%CI=[1.477, 2.842] and the carrying out of culinary workshops OR=2.032;95%CI=[1.442; 2.863], considering p<0.05. The presence of FNE in the school curriculum was positively associated with growing vegetable gardens, showing that complex actions that require more resources can be stimulated from simpler measures, and the NSFP as a public health policy is an important tool to promote actions throughout the national territory.
2019
Authors
Viana, V; Almeida, P; Guardiano, M; Silva, D; Oliveira, B; Guerra, A;
Publication
The Psychologist: Practice & Research Journal
Abstract
2019
Authors
Ferreira, MC; Universidade do Porto – Faculdade de Engenharia, Porto, Portugal,; Dias, TG; Cunha, JFe;
Publication
Journal of Traffic and Logistics Engineering
Abstract
2019
Authors
Paiva, LT; Fontes, FACC;
Publication
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B
Abstract
This article addresses the problem of controlling a constrained, continuous-time, nonlinear system through Model Predictive Control (MPC). In particular, we focus on methods to efficiently and accurately solve the underlying optimal control problem (OCP). In the numerical solution of a nonlinear OCP, some form of discretization must be used at some stage. There are, however, benefits in postponing the discretization process and maintain a continuous-time model until a later stage. This is because that way we can exploit additional freedom to select the number and the location of the discretization node points. We propose an adaptive time-mesh refinement (AMR) algorithm that iteratively finds an adequate time-mesh satisfying a pre-defined bound on the local error estimate of the obtained trajectories. The algorithm provides a time-dependent stopping criterion, enabling us to impose higher accuracy in the initial parts of the receding horizon, which are more relevant to MPC. Additionally, we analyze the conditions to guarantee closed-loop stability of the MPC framework using the AMR algorithm. The numerical results show that the proposed AMR strategy can obtain solutions as fast as methods using a coarse equidistant-spaced mesh and, on the other hand, as accurate as methods using a fine equidistant-spaced mesh. Therefore, the OCP can be solved, and the MPC law obtained, faster and/or more accurately than with discrete-time MPC schemes using equidistant-spaced meshes.
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