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The pattern making process is a key step in the development of apparel products. In this process, it is necessary to develop basic patterns, which serve as basis for the interpretation of different types of clothes.The purpose of this article is to present the automation of the basic patterns design process for women's pants construction. To do so, we used the Grasshopper parametric modeling program, which is a plugin of the Rhinoceros software. This system allows a parameterization of shapes, in a way that allows an adaptation of measurements of the geometry created.For the development of the tracing of the basic models of the women's pants, we used the steps indicated in the garment modeling method proposed by Romero (1995). The process in the Grasshopper uses mathematical operations and tools for drawing points, lines and curves.With the automation of the basic mold tracing, it is possible to adapt parameters according to the measurement chart of individual companies or customers.This adaptation also assists in the creation of several custom patterns, such as other types of pants and shorts, which can be interpreted through the basic pattern of pants. In a comparative analysis with the traditional method, the moldsgenerated in the Grasshopper obtained high fidelity in comparison to the tracing done manually, which allows the development of the molds without loss of quality. In this context, this project also aims to collaborate in the construction of a set of basic patterns that support the development of custom clothing.

Healthy urban mobility is the concept that deals with how the physical structure of cities affect the mobility of the population and how it relates to collective health and well-being. The article seeks to share the experience of conducting a research on healthy urban mobility in the Cruzeiro Region in Porto Alegre (RS-Brazil) and the experiences and reflections raised during the survey. In order to make viable the large-scale survey in the territory, it became necessary the researchers' partnership with the local population, a relationship that caused tensions and adaptations. The text provides an analytical description of the survey steps, using the field diary and the research report as sources of information. As a result, the importance of community participation in association with academic research in the search for social transformations is highlighted, even though symbolic barriers must be overcomed. We hope, with this report, to share the lessons learned, which show mobility limitations faced by low-income residents and the challenge of transposing social and spatial segregation in large urban centers.

This paper proposes the use of regularization on the multivariable formulation of the Virtual Reference Feedback Tuning (VRFT). When the process to be controlled has a significant amount of noise, the standard VRFT approach, that uses the instrumental variable technique, provides estimates with very poor statistical properties. To cope with that, this paper considers the use of regularization on the estimation procedure, reducing the covariance error at the cost of inserting a small bias. Also, this paper explains different types of regularization matrices and presents the methodology to tune these matrices. In order to demonstrate the benefits of the proposed formulation, a numerical example is presented.