Objective: To determine and compare the quality of life, nutritional status, and self-perceived body image between nutrition students and students from other careers from the University Santo Tomás-Viña del Mar. Methods: We evaluated 200 student volunteers (100 nutrition students and 100 students from other careers) with a quality of life survey, a nutritional evaluation, and a survey of body image perception. Results: The group of nutritional students perceived a lower quality of life, consumed less tobacco, and was less sedentary. Women of the nutritional group had a lower BMI and showed a lower hip circumference. Men of the nutritional group also showed a lower hip circumference. The nutritional group consumed more milk, chicken, and fish in their diet. Both groups presented an elevated consumption of alcohol. The concordance between BMI and body image was low, 34% in the nutritional group and 38% in the other careers group (Kappa 0.04 and 0.02). Conclusion: With respect to perception of quality of life, students from other careers perceived a better quality of life, however students from the nutritional group presented better nutritional status and selection of food.

Objetivo: Determinar y comparar la calidad de vida, estado nutricional y auto percepción de imagen corporal entre estudiantes de Nutrición y Dietética (ND) con otras carreras (OC) de la Universidad Santo Tomas (UST), Sede Viña del Mar. Métodos: Se evaluaron 200 estudiantes voluntarios (100 ND y 100 OC) aplicándoles: una encuesta de calidad de vida, evaluación nutricional y encuesta de autopercepción de imagen corporal. Resultados: El grupo ND presentó menor percepción de su calidad de vida, consumo de tabaco y sedentarismo. Mujeres ND presentaron menor IMC y circunferencia de cintura (CC) y hombres ND presentaron menor CC (p < 0,05). El grupo ND presentó un mayor consumo de leche, pollo (p < 0,05) y pescado (0,01), ambos grupos presentaron un elevado consumo de alcohol. La concordancia diagnóstica entre IMC y la imagen corporal es baja, 34% en ND y 38% en OC (Kappa 0,04 y 0,02) respectivamente. Conclusión: Con respecto a la percepción de calidad de vida es mejor en estudiantes de OC, sin embargo los estudiantes de ND presentaron mejor estado nutricional y selección de alimentos.

This work presents the use of a hybrid-neural model for predictive control of a plug flow polymerisation reactor. The hybrid-neural model (HNM) is based on fundamental conservation laws associated with a neural network (NN) used to model the uncertain parameters. By simulations, the performance of this approach was studied for a peroxide-initiated styrene tubular reactor. The HNM was synthesised for a CSTR reactor with a radial basis function neural net (RBFN) used to estimate the reaction rates recursively. The adaptive HNM was incorporated in two model predictive control strategies, a direct synthesis scheme and an optimum steady state scheme. Tests for servo and regulator control showed excellent behaviour following different setpoint variations, and rejecting perturbations. The good generalisation and training capacities of hybrid models, associated with the simplicity and robustness characteristics of the MPC formulations, make an attractive combination for the control of a polymerisation reactor.

or multivariable non linear predictive control implementations, a hybrid-neural model (lumped model) was successfully used for modeling a loop-tubular polymerization reactor (a lumped or distributed model, depending on recycle ratio). Bifurcation diagrams were computed in order to investigate the agreement between process and model, of paramount importance for model based controller implementation purposes. Performance was evaluated considering the nonlinear model predictive control of both a loop tubular reactor (lumped) SISO problem and a tubular reactor (distributed) MIMO problem.